Using large language model (LLM) to identify high-burden informal caregivers in long-term care-Reference-Cited by-同舟云学术

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Using large language model (LLM) to identify high-burden informal caregivers in long-term care

Published:2024-10 Issue: Volume:255 Page:108329
ISSN:0169-2607
Container-title:Computer Methods and Programs in Biomedicine
language:en
Short-container-title:Computer Methods and Programs in Biomedicine

Author:

Chien Shuo-Chen,Yen Chia-Ming^ORCID,Chang Yu-Hung^ORCID,Chen Ying-Erh,Liu Chia-Chun,Hsiao Yu-Ping,Yang Ping-Yen,Lin Hong-Ming,Yang Tsung-En,Lu Xing-Hua,Wu I-Chien,Hsu Chih-Cheng,Chiou Hung-Yi,Chung Ren-Hua

Funder

National Health Research Institutes

Publisher

Elsevier BV

Reference50 articles.

1. Caregiver and clinician shortages in an aging nation;Fleming;Mayo Clin. Proc.,2003

2. The effects of home care provider mix on the care recipient: an international, systematic review of articles from 2000 to 2020;Coe;Annu. Rev. Public Health,2021

3. Informal and formal care: substitutes or complements in care for people with dementia? Empirical evidence for 8 European countries;Bremer;Health Policy,2017

4. Exploring concepts and trends in informal caregiver burden: systematic review using citation network and content analysis;Chien;Aging Clin. Exp. Res.,2023

5. The relationship between formal and informal care among Chinese older adults: based on the 2014 CLHLS dataset;Lin;BMC Health Serv. Res.,2019

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