Demand prediction of medical services in home and community-based services for older adults in China using machine learning.

ABSTRACT:

Background

Home and community-based services are considered an appropriate and crucial caring method for older adults in China. However, the research examining demand for medical services in HCBS through machine learning techniques and national representative data has not yet been carried out. This study aimed to address the absence of a complete and unified demand assessment system for home and community-based services.

Methods

This was a cross-sectional study conducted on 15,312 older adults based on the Chinese Longitudinal Healthy Longevity Survey 2018. Models predicting demand were constructed using five machine-learning methods: Logistic regression, Logistic regression with LASSO regularization, Support Vector Machine, Random Forest, and Extreme Gradient Boosting (XGbo

SUBMITTER: Huang Y 

PROVIDER: S-EPMC10060662 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature