Identifying the top determinants of psychological resilience among community older adults during COVID-19 in Taiwan: A random forest approach

Jia-Jen Chen; Li-Fan Liu; Sheng-Mao Chang; Chi-Pang Lu

doi:10.1016/j.mlwa.2023.100494

Identifying the top determinants of psychological resilience among community older adults during COVID-19 in Taiwan: A random forest approach

Jia-Jen Chen, Li-Fan Liu, Sheng-Mao Chang, Chi-Pang Lu

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	100494
Journal	Machine Learning with Applications
Volume	14
DOIs	https://doi.org/10.1016/j.mlwa.2023.100494
Publication status	Published - 2023 Dec 1

Access to Document

10.1016/j.mlwa.2023.100494

https://linkinghub.elsevier.com/retrieve/pii/S2666827023000476

Cite this

@article{cebddc2f1e4547c9aee8c97b29dade5c,

title = "Identifying the top determinants of psychological resilience among community older adults during COVID-19 in Taiwan: A random forest approach",

author = "Jia-Jen Chen and Li-Fan Liu and Sheng-Mao Chang and Chi-Pang Lu",

year = "2023",

month = dec,

day = "1",

doi = "10.1016/j.mlwa.2023.100494",

language = "English",

volume = "14",

pages = "100494",

journal = "Machine Learning with Applications",

issn = "2666-8270",

}

TY - JOUR

T1 - Identifying the top determinants of psychological resilience among community older adults during COVID-19 in Taiwan: A random forest approach

AU - Chen, Jia-Jen

AU - Liu, Li-Fan

AU - Chang, Sheng-Mao

AU - Lu, Chi-Pang

PY - 2023/12/1

Y1 - 2023/12/1

U2 - 10.1016/j.mlwa.2023.100494

DO - 10.1016/j.mlwa.2023.100494

M3 - Article

SN - 2666-8270

VL - 14

SP - 100494

JO - Machine Learning with Applications

JF - Machine Learning with Applications

ER -