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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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2024-01-01
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| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0310981 |
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