Machine learning for predicting institutionalization and mortality risks among older home care recipients with routinely collected need assessment data: explainable AI for long-term care.
- DOI
- 10.1186/s12911-026-03641-8
- Published
- 2026 Jun 25
- Container
- BMC medical informatics and decision making
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1186/s12911-026-03641-8,
title = {Machine learning for predicting institutionalization and mortality risks among older home care recipients with routinely collected need assessment data: explainable AI for long-term care.},
author = {Kim H and Yoon J and Noh H and Yun S and Chun S and Lee W},
year = {2026},
journal = {BMC medical informatics and decision making},
doi = {10.1186/s12911-026-03641-8},
url = {https://doi.org/10.1186/s12911-026-03641-8}
}RIS
TY - JOUR TI - Machine learning for predicting institutionalization and mortality risks among older home care recipients with routinely collected need assessment data: explainable AI for long-term care. AU - Kim H AU - Yoon J AU - Noh H AU - Yun S AU - Chun S AU - Lee W PY - 2026 JO - BMC medical informatics and decision making DO - 10.1186/s12911-026-03641-8 UR - https://doi.org/10.1186/s12911-026-03641-8 ER -
APA
H, K., J, Y., H, N., S, Y., S, C., & W, L. (2026). Machine learning for predicting institutionalization and mortality risks among older home care recipients with routinely collected need assessment data: explainable AI for long-term care.. BMC medical informatics and decision making. https://doi.org/10.1186/s12911-026-03641-8
Source records
- pubmed · retrieved 2026-09-25T16:20:13.925Z