Using large administrative data for mining patients' trajectories for risk stratification: An example from urological diseases.

Using large administrative data for mining patients' trajectories for risk stratification: An example from urological diseases.

<h4>Objective</h4>To identify latent clusters among urological patients by examining hospitalisation rate trajectories and their association with risk factors and outcome quality indicators.<h4>Materials and methods</h4>Victorian Admitted Episodes Dataset, containing informat...

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Bibliographic Details
Main Authors: Harvey Jia Wei Koh, Dragan Gašević, David Rankin, Mark Frydenberg, Stella Talic
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2024-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0310981
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