Use of Latent Class Analysis and k-Means Clustering to Identify Complex Patient Profiles

IMPORTANCE: Medically complex patients are a heterogeneous group that contribute to a substantial proportion of health care costs. Coordinated efforts to improve care and reduce costs for this patient population have had limited success to date. OBJECTIVE: To define distinct patient clinical profile...

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Detalles Bibliográficos
Autores principales: Grant, Richard W., McCloskey, Jodi, Hatfield, Meghan, Uratsu, Connie, Ralston, James D., Bayliss, Elizabeth, Kennedy, Chris J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Association 2020
Materias:
Original Investigation
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7733156/
https://www.ncbi.nlm.nih.gov/pubmed/33306116
http://dx.doi.org/10.1001/jamanetworkopen.2020.29068

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7733156/
https://www.ncbi.nlm.nih.gov/pubmed/33306116
http://dx.doi.org/10.1001/jamanetworkopen.2020.29068

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