A prediction method for older adult care service demand combining improved RF algorithm and logistic regression

The findings indicate that the integrated approach effectively improves prediction accuracy and reliability. The model offers a robust decision-support tool for care service institutions and government departments in resource planning and service allocation for the older population.

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Publication Details

Journal
Frontiers in Public Health
Published
2026-01-09
DOI
https://doi.org/10.3389/fpubh.2025.1679228
Primary Topic
Intergenerational Family Dynamics and Caregiving
Type
article
Field-Weighted Citation Impact
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article

A prediction method for older adult care service demand combining improved RF algorithm and logistic regression

Ya Fang Wang, Na Liu
Frontiers in Public Health
Intergenerational Family Dynamics and Caregiving
article

A prediction method for older adult care service demand combining improved RF algorithm and logistic regression

Ya Fang Wang, Na Liu
article en

Abstract

The findings indicate that the integrated approach effectively improves prediction accuracy and reliability. The model offers a robust decision-support tool for care service institutions and government departments in resource planning and service allocation for the older population.

Frontiers in Public HealthVol. 13
Yancheng Teachers University (CN)
Openalex Percentile: Top 95%
Intergenerational Family Dynamics and Caregiving
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A prediction method for older adult care service demand combining improved RF algorithm and logistic regression — Ya Fang Wang, Na Liu · Frontiers in Public Health (2026) | TGRS Research Map | TGRS