Nine care-trajectory clusters derived from Dynamic Time Warping and hierarchical clustering independently predict mortality in cancer patients and show an inverse link to baseline anxiety in high-utilization groups.
Visualising Disease Trajectories from Population-WideData
2 Pith papers cite this work. Polarity classification is still indexing.
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Disease is framed as a perturbation ΔH to the healthy biomarker Hamiltonian H_0 = X^T X / n, with patient projections onto disease eigenmodes claimed as an optimal prognostic statistic.
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Care Trajectories Are Linked to Mental Health and Mortality in Cancer Patients
Nine care-trajectory clusters derived from Dynamic Time Warping and hierarchical clustering independently predict mortality in cancer patients and show an inverse link to baseline anxiety in high-utilization groups.
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Disease Is a Spectral Perturbation
Disease is framed as a perturbation ΔH to the healthy biomarker Hamiltonian H_0 = X^T X / n, with patient projections onto disease eigenmodes claimed as an optimal prognostic statistic.