A two-stage MLP detects urological events in vesical pressure signals with 84% accuracy for voiding versus non-voiding and 90% for abdominal versus detrusor overactivity on external validation data.
Predictive modeling with linear machine learning can estimate glioblastoma survival in months based solely on MGMT- methylation status, age and sex
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.SP 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Automated Detection of Urological Events in Bladder Pressure Signals with a Two-Stage Machine Learning Framework Validated on External Datasets
A two-stage MLP detects urological events in vesical pressure signals with 84% accuracy for voiding versus non-voiding and 90% for abdominal versus detrusor overactivity on external validation data.