Open AccessUse of Latent Class Analysis and k-Means Clustering to Identify Complex Patient Profiles
Author(s) -
Richard W. Grant,
Jodi K. McCloskey,
Meghan Hatfield,
Connie S. Uratsu,
James D. Ralston,
Elizabeth A. Bayliss,
Chris J. Kennedy
Publication year - 2020
Publication title -
jama network open
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.278
H-Index - 39
ISSN - 2574-3805
DOI - 10.1001/jamanetworkopen.2020.29068
Subject(s) - latent class model , medicine , comorbidity , population , cohort , health care , statistics , mathematics , environmental health , economics , economic growth
This cohort study uses data clustering methods and clinical stakeholder assessment to identify clinical profiles in a population of medically complex patients.
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