Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T05:47:10.953421Z
Paper Citation Record · LEDGER
Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data
As of 16 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 0 inbound Pith citation observations for arXiv:2506.07092.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
62 of 62 outbound references displayed
- verified exact22
- verified fuzzy19
- unresolved9
- parse uncertain0
- malformed identifier2
- metadata mismatch10
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation b6b2e185-9479-45c8-8012-973de73e35d9 · outbound
This paper cites Patient similarity in prediction mod- els based on health data: A scoping review.
Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data Patient similarity in prediction mod- els based on health data: A scoping review
Reference 1
- Resolution
- verified exact
- raw_fallback, observed 2026-08-07T05:47:17.323778Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation bd2169be-3a8d-4d2b-b29b-a02897af0418 · outbound
This paper cites an unresolved cited work.
Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data Unresolved cited work
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:47:06.561759Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3d6e53a6-dde6-40bb-9934-1085cc446346 · outbound
This paper cites Using dynamic time warping to find patterns in time series, in: In Pro- ceedings of the 3rd International Conference on Knowledge Discovery and Data Mining (AAAIWS’94), p.
Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data Using dynamic time warping to find patterns in time series, in: In Pro- ceedings of the 3rd International Conference on Knowledge Discovery and Data Mining (AAAIWS’94), p
Reference 4
- Resolution
- metadata mismatch
- raw_fallback, observed 2026-08-07T05:47:16.996060Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 0eab89e5-3a15-4e6b-b3ab-ec14a30a0c7a · outbound
This paper cites Real-time prediction of mortality, readmission, and length of stay us- ing electronic health record data.
Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data Real-time prediction of mortality, readmission, and length of stay us- ing electronic health record data
Reference 5
- Resolution
- verified exact
- doi, observed 2026-08-07T05:47:13.548941Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6e4f09e4-d264-4acf-a7d0-8346aced395e · outbound
This paper cites Similarity Measures and Dimensionality Reduction Techniques for Time Series Data Mining.
Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data Similarity Measures and Dimensionality Reduction Techniques for Time Series Data Mining
Reference 6
- Resolution
- malformed identifier
- doi_truncated, observed 2026-08-07T05:47:13.467508Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ba766770-80ae-450d-8fdb-0cd2ec3a60dd · outbound
This paper cites an unresolved cited work.
Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data Unresolved cited work
Reference 7
- Resolution
- metadata mismatch
- raw_fallback, observed 2026-08-07T05:47:16.741135Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 55fed0b1-7d9a-4c18-934b-4c00fc7a0356 · outbound
This paper cites Exploiting Convolutional Neural Network for Risk Prediction with Medical Feature Embedding.
Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data Exploiting Convolutional Neural Network for Risk Prediction with Medical Feature Embedding
Reference 8
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T05:47:16.560919Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7d9377c8-28d2-4192-b48e-76aef98f437b · outbound
This paper cites Analysis of microarray data using z-score trans- formation.
Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data Analysis of microarray data using z-score trans- formation
Reference 9
- Resolution
- verified exact
- doi, observed 2026-08-07T05:47:13.342313Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 9e167e2c-6259-41cd-ae8f-fcb595a9c39f · outbound
This paper cites Risk Prediction with Elec- tronic Health Records: A Deep Learning Approach.
Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data Risk Prediction with Elec- tronic Health Records: A Deep Learning Approach
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:47:06.646249Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5e7cf051-c31b-4890-bfd7-3ddeec442465 · outbound
This paper cites Introduction to Algorithms, Third Edition.
Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data Introduction to Algorithms, Third Edition
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:47:21.149979Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ce04c526-371a-4f9c-bff6-cca5ee3acadb · outbound
This paper cites A comparative analy- sis of data preparation algorithms for customer churn prediction: A case study in the telecommunication industry.
Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data A comparative analy- sis of data preparation algorithms for customer churn prediction: A case study in the telecommunication industry
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:47:06.801099Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e9c2da56-1096-499d-9af0-92be5fa5eb2a · outbound
This paper cites Generating evidence based interpretation of hematology screens via anomaly charac- terization.
Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data Generating evidence based interpretation of hematology screens via anomaly charac- terization
Reference 13
- Resolution
- verified exact
- doi, observed 2026-08-07T05:47:13.214093Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7e65d47d-f2cf-41f1-bbbc-c053f3d64132 · outbound
This paper cites Statistical comparisons of classifiers over multiple data sets.
Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data Statistical comparisons of classifiers over multiple data sets
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:47:20.987673Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d848c35a-0c9f-41d9-901e-abe57142bffb · outbound
This paper cites Exact indexing of dynamic time warping.
Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data Exact indexing of dynamic time warping
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:47:20.680084Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ff80199b-66cc-4f45-9b5e-73a997e32456 · outbound
This paper cites Tsiklidis, Talid Sinno, S.L.D., 2022.
Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data Tsiklidis, Talid Sinno, S.L.D., 2022
Reference 16
- Resolution
- verified exact
- doi, observed 2026-08-07T05:47:13.004200Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a4b79a62-92db-498c-aeb2-a551ddfcce9f · outbound
This paper cites Fast subsequence matching in time-series databases.
Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data Fast subsequence matching in time-series databases
Reference 17
- Resolution
- metadata mismatch
- raw_fallback, observed 2026-08-07T05:47:16.385097Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation f5694522-9789-4204-a3a0-dc72826df2fb · outbound
This paper cites Intertemporal similarity of economic time series: An application of dynamic time warping.
Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data Intertemporal similarity of economic time series: An application of dynamic time warping
Reference 18
- Resolution
- malformed identifier
- doi_truncated, observed 2026-08-07T05:47:12.859074Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2e38ba3b-bd0f-4afb-8aee-ba94070b4d89 · outbound
This paper cites Patient clustering with uncoded text in electronic medical records.
Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data Patient clustering with uncoded text in electronic medical records
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:47:20.398343Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 37b159e6-bdd8-4476-aa5f-d916aff9f7f1 · outbound
This paper cites Survey of clinical data mining applications on big data in health informatics, in: 2013 12th International Conference on Machine Learning and Applica- tions, pp.
Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data Survey of clinical data mining applications on big data in health informatics, in: 2013 12th International Conference on Machine Learning and Applica- tions, pp
Reference 20
- Resolution
- verified exact
- doi, observed 2026-08-07T05:47:12.704996Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 5fa33a2b-015f-48f9-9d23-9dce4d653762 · outbound
This paper cites Using participant similarity for the classification of epidemiological data on hepatic steatosis, IEEE.
Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data Using participant similarity for the classification of epidemiological data on hepatic steatosis, IEEE
Reference 21
- Resolution
- verified exact
- doi, observed 2026-08-07T05:47:12.586009Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 339e47b7-528f-4423-8eae-cec1dd4fb1f9 · outbound
This paper cites Spectral clustering strategies for heterogeneous disease expression data.
Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data Spectral clustering strategies for heterogeneous disease expression data
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:47:20.023725Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 8db1cea4-d098-438b-a098-4552c6d7df2c · outbound
This paper cites Dtw-nn: A novel neural network for time se- ries recognition using dynamic alignment between inputs and weights.
Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data Dtw-nn: A novel neural network for time se- ries recognition using dynamic alignment between inputs and weights
Reference 23
- Resolution
- metadata mismatch
- raw_fallback, observed 2026-08-07T05:47:16.160004Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e518379c-1c61-4d5d-ac63-071678ac6014 · outbound
This paper cites A patient-similarity-based model for diagnostic prediction.
Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data A patient-similarity-based model for diagnostic prediction
Reference 24
- Resolution
- metadata mismatch
- raw_fallback, observed 2026-08-07T05:47:15.916711Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 5ed6dc06-ae7c-43d6-9c21-fc56c250f22d · outbound
This paper cites A novel customer churn prediction model for the telecommunication industry us- ing data transformation methods and feature selection.
Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data A novel customer churn prediction model for the telecommunication industry us- ing data transformation methods and feature selection
Reference 25
- Resolution
- verified exact
- doi, observed 2026-08-07T05:47:12.409842Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 07d0f7d3-b417-4eca-9b45-b0843df452e3 · outbound
This paper cites Domain wall-grain boundary interactions in polycrystalline Pb(Zr0.7Ti0.3)O3 piezoceramics.
Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data Domain wall-grain boundary interactions in polycrystalline Pb(Zr0.7Ti0.3)O3 piezoceramics
Reference 26
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-07T05:47:15.603638Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation fba15ce6-1e1b-447a-a6b6-856e598aab50 · outbound
This paper cites Integrated optimisation method for personalised modelling and case studies for medical decision support.
Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data Integrated optimisation method for personalised modelling and case studies for medical decision support
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:47:19.839863Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 15dbced2-eecd-4833-a913-89bb0505863c · outbound
This paper cites Exact indexing of dynamic time warping, in: Proceedings of the 28th International Conference on Very Large Data Bases, VLDB Endowment.
Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data Exact indexing of dynamic time warping, in: Proceedings of the 28th International Conference on Very Large Data Bases, VLDB Endowment
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:47:19.713406Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ac4176f2-873f-49da-a473-cb296bf433a8 · outbound
This paper cites A fast and accurate similarity measure for long time series classification based on local extrema and dynamic time warping.
Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data A fast and accurate similarity measure for long time series classification based on local extrema and dynamic time warping
Reference 29
- Resolution
- metadata mismatch
- raw_fallback, observed 2026-08-07T05:47:15.455738Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6d34edb8-c05c-4218-920d-590a03dc82b8 · outbound
This paper cites Medical Time Series Classification with Hierarchical Attention-based Temporal Convolutional Networks: A Case Study of Myotonic Dystrophy Diagnosis.
Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data Medical Time Series Classification with Hierarchical Attention-based Temporal Convolutional Networks: A Case Study of Myotonic Dystrophy Diagnosis
Reference 30
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T05:47:15.189528Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 9393119e-2349-45a1-abd4-ffb4185f813d · outbound
This paper cites A ¡i¿k¡/i¿ -nearest neighbors survival probability prediction method.
Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data A ¡i¿k¡/i¿ -nearest neighbors survival probability prediction method
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:47:19.590089Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 153b8f0a-a9b8-4916-9f21-2cea07aa62c9 · outbound
This paper cites Integrate multi-omic data using affinity network fusion (anf) for cancer patient clustering, in: 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp.
Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data Integrate multi-omic data using affinity network fusion (anf) for cancer patient clustering, in: 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp
Reference 32
- Resolution
- metadata mismatch
- raw_fallback, observed 2026-08-07T05:47:14.961545Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c3feb9e3-995c-406a-95ae-f16958f07317 · outbound
This paper cites An integrated data mining approach to real-time clinical monitoring and deterioration warning, pp.
Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data An integrated data mining approach to real-time clinical monitoring and deterioration warning, pp
Reference 33
- Resolution
- metadata mismatch
- raw_fallback, observed 2026-08-07T05:47:14.751338Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a61d84f0-10b1-4840-acb5-360afe0557d8 · outbound
This paper cites Effective patient similarity computa- tion for clinical decision support using time series and static data, pp.
Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data Effective patient similarity computa- tion for clinical decision support using time series and static data, pp
Reference 34
- Resolution
- metadata mismatch
- raw_fallback, observed 2026-08-07T05:47:14.546874Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 04e90670-9815-4070-95a3-c34adb0228a3 · outbound
This paper cites Personalized predictive modeling and risk factor identification using patient similarity.
Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data Personalized predictive modeling and risk factor identification using patient similarity
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:47:19.432172Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 18e54ea0-08b8-4f9c-b9c8-09c5297651db · outbound
This paper cites Patient similarity networks for preci- sion medicine.
Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data Patient similarity networks for preci- sion medicine
Reference 36
- Resolution
- verified exact
- doi, observed 2026-08-07T05:47:12.092747Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b862384a-ab4f-49e0-b455-f6733e0d27f9 · outbound
This paper cites Patient similarity for precision medicine: A systematic review.
Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data Patient similarity for precision medicine: A systematic review
Reference 37
- Resolution
- verified exact
- doi, observed 2026-08-07T05:47:11.891992Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a8a1d7b7-8dfe-4961-97dd-69551f0a3aab · outbound
This paper cites New knowledge extraction technique using prob- ability for case-based reasoning: application to medical diagnosis.
Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data New knowledge extraction technique using prob- ability for case-based reasoning: application to medical diagnosis
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:47:19.297647Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 31542074-dbf2-4848-ad3d-6f72e3c9617a · outbound
This paper cites Physionet-MIMICIII.
Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data Physionet-MIMICIII
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:47:19.144370Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 1843fb17-8fe3-488a-a0a3-253db2fde2b2 · outbound
This paper cites an unresolved cited work.
Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data Unresolved cited work
Reference 40
- Resolution
- verified exact
- raw_fallback, observed 2026-08-07T05:47:14.382537Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 85819bf6-820a-419c-811e-092e903b4e9a · outbound
This paper cites netdx: interpretable patient classification using integrated patient similarity networks.
Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data netdx: interpretable patient classification using integrated patient similarity networks
Reference 41
- Resolution
- verified exact
- doi, observed 2026-08-07T05:47:11.747665Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 1723f7e2-a716-4fe2-a2b5-869a779b71f0 · outbound
This paper cites Benchmarking deep learn- ing models on large healthcare datasets.
Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data Benchmarking deep learn- ing models on large healthcare datasets
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:47:19.009697Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a86a2d8d-a08d-4aad-9320-58880048b3e0 · outbound
This paper cites Privacy-Preserving Customer Churn Prediction Model in the Context of Telecommunication Industry.
Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data Privacy-Preserving Customer Churn Prediction Model in the Context of Telecommunication Industry
Reference 43
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T05:47:14.172106Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation af7c1475-a5f7-4847-8597-5801dbd54496 · outbound
This paper cites Modeling online customer purchase intention behavior applying dif- ferent feature engineering and classification techniques.
Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data Modeling online customer purchase intention behavior applying dif- ferent feature engineering and classification techniques
Reference 44
- Resolution
- verified exact
- doi, observed 2026-08-07T05:47:11.588516Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e19bdb6e-87b9-407e-9fa5-701c2ee73bcd · outbound
This paper cites Toward accurate dynamic time warping in linear time and space.
Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data Toward accurate dynamic time warping in linear time and space
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:47:18.824973Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 44ee4e2f-9e1d-417a-81b6-7ddbe1675088 · outbound
This paper cites Spark.https://spark.apache.org/.
Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data Spark.https://spark.apache.org/
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:47:18.676003Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 70879901-9191-4248-8bb7-8ce38a6f63b7 · outbound
This paper cites Spark.https://www.infoworld.com/article/3236869/what-is-apache-spark-the-big-data-platform-that-crushed-hadoop.html.
Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data Spark.https://www.infoworld.com/article/3236869/what-is-apache-spark-the-big-data-platform-that-crushed-hadoop.html
Reference 47
- Resolution
- verified exact
- raw_fallback, observed 2026-08-07T05:47:14.050039Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 3147cd8e-f045-447b-a80f-4ffb5ae08df3 · outbound
This paper cites Clustering patients ac- cording to health perceptions: Relationships to psychosocial characteristics and medication nonadherence.
Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data Clustering patients ac- cording to health perceptions: Relationships to psychosocial characteristics and medication nonadherence
Reference 48
- Resolution
- verified exact
- doi, observed 2026-08-07T05:47:11.448370Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 84268f7d-920c-45e6-ae03-934c2343d6be · outbound
This paper cites Deep patient similarity learning for personalized healthcare.
Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data Deep patient similarity learning for personalized healthcare
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:47:10.015757Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b1f31873-3a4a-432a-8f91-c2e34bbfbb4d · outbound
This paper cites Attention is all you need, in: Proceedings of the 31st International Conference on Neural Information Processing Systems, Curran Associates Inc., Red Hook, NY, USA.
Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data Attention is all you need, in: Proceedings of the 31st International Conference on Neural Information Processing Systems, Curran Associates Inc., Red Hook, NY, USA
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:47:18.529393Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 044c2c75-b2fe-47e0-a560-1ac518653a6c · outbound
This paper cites A system for mining temporal physiological data streams for advanced prognostic decision support, IEEE.
Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data A system for mining temporal physiological data streams for advanced prognostic decision support, IEEE
Reference 51
- Resolution
- verified exact
- doi, observed 2026-08-07T05:47:11.294751Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 04bac3a4-f5a9-40aa-87f7-b988b92998b2 · outbound
This paper cites an unresolved cited work.
Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data Unresolved cited work
Reference 52
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T05:47:18.345957Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6421f864-7cd2-4eb1-bb05-9ce0c4c4bcb9 · outbound
This paper cites an unresolved cited work.
Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data Unresolved cited work
Reference 53
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T05:47:18.195484Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c760423d-7ac8-4167-98e8-9d9a9ba537d9 · outbound
This paper cites Comparing and combining time series trajectories using dynamic time warping.
Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data Comparing and combining time series trajectories using dynamic time warping
Reference 54
- Resolution
- verified exact
- doi, observed 2026-08-07T05:47:11.124937Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b461631b-abf8-4262-81be-86a6621f4e31 · outbound
This paper cites Integrating distance metrics learned from mul- tiple experts and its application in inter-patient similarity assessment, in: SDM.
Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data Integrating distance metrics learned from mul- tiple experts and its application in inter-patient similarity assessment, in: SDM
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:47:17.865689Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6a7a8c74-2f2e-4dd3-982d-7d41adac3278 · outbound
This paper cites End-to-End Entity Classification on Multimodal Knowledge Graphs.
Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data End-to-End Entity Classification on Multimodal Knowledge Graphs
Reference 56
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:47:10.627461Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f5df1872-2f40-4fe1-a1e1-5f5933acdfa9 · outbound
This paper cites Hierarchical Agglomerative Clustering.
Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data Hierarchical Agglomerative Clustering
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:47:17.671567Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation fd13f8ad-a0a5-409f-ace9-57cc7aa2b775 · outbound
This paper cites Medical prognosis based on patient similarity and expert feedback, in: Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012), pp.
Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data Medical prognosis based on patient similarity and expert feedback, in: Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012), pp
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:47:18.011056Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 11d26a81-a483-4890-86d3-b1528c830176 · outbound
This paper cites Measuring patient similarities via a deep architecture with medical concept embedding, in: 2016 IEEE 16th International Conference on Data Mining (ICDM), pp.
Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data Measuring patient similarities via a deep architecture with medical concept embedding, in: 2016 IEEE 16th International Conference on Data Mining (ICDM), pp
Reference 60
- Resolution
- verified exact
- raw_fallback, observed 2026-08-07T05:47:13.787428Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d0f673bd-b19d-4c5f-87d7-e861771e4cce · outbound
This paper cites A novel patient similarity prediction model based on semisupervised learning, in: CAIBDA 2022: 2nd International Conference on Artificial Intelligence, Big Data and Algorithms, pp.
Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data A novel patient similarity prediction model based on semisupervised learning, in: CAIBDA 2022: 2nd International Conference on Artificial Intelligence, Big Data and Algorithms, pp
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:47:17.507959Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation de5024fd-4040-45a8-8cf0-ae1d214e7060 · outbound
This paper cites an unresolved cited work.
Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data Unresolved cited work
Reference 134
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:47:09.267888Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aa413780-2e7a-423a-862b-dc59a63ac06a · outbound
This paper cites Nature methods 11.
Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data Nature methods 11
Reference 2014
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:47:10.280743Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d3485834-2fb5-47e8-8740-86c141f7a07c · outbound
This paper cites an unresolved cited work.
Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data Unresolved cited work
Reference 2069
- Resolution
- verified exact
- doi, observed 2026-08-07T05:47:12.248898Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Pith citing papers
No inbound Pith citation observations are available.