Multimorbidity patterns, sociodemographic characteristics, and mortality: Data science insights from low-resource settings

TY - JOUR

T1 - Multimorbidity patterns, sociodemographic characteristics, and mortality

T2 - Data science insights from low-resource settings

AU - Bazo-Alvarez, Juan Carlos

AU - Del Castillo, Darwin

AU - Piza, Luis

AU - Bernabé-Ortiz, Antonio

AU - Carrillo-Larco, Rodrigo M.

AU - Smeeth, Liam

AU - Gilman, Robert H.

AU - Checkley, William

AU - Miranda, J. Jaime

N1 - Publisher Copyright: © The Author(s) 2024. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For commercial re-use, please contact [email protected] for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact [email protected].

PY - 2026/4/1

Y1 - 2026/4/1

KW - cluster analysis

KW - low- and middle-income countries

KW - mortality risk

KW - multimorbidity patterns

KW - sociodemographic characteristics

KW - unsupervised machine learning

UR - https://www.scopus.com/pages/publications/105010373503

U2 - 10.1093/aje/kwae466

DO - 10.1093/aje/kwae466

M3 - Article

C2 - 39703173

AN - SCOPUS:105010373503

SN - 0002-9262

VL - 195

SP - 901

EP - 911

JO - American Journal of Epidemiology

JF - American Journal of Epidemiology

IS - 4

ER -