Predicting Long-Term Care Service Demands for Cancer Patients: A Machine Learning Approach

Predicting Long-Term Care Service Demands for Cancer Patients: A Machine Learning Approach

Background: Long-term care (LTC) service demands among cancer patients are significantly understudied, leading to gaps in healthcare resource allocation and policymaking. Objective: This study aimed to predict LTC service demands for cancer patients and identify the crucial factors. Methods: 3333 ca...

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Bibliographic Details
Main Authors: Shuo-Chen Chien, Yu-Hung Chang, Chia-Ming Yen, Ying-Erh Chen, Chia-Chun Liu, Yu-Ping Hsiao, Ping-Yen Yang, Hong-Ming Lin, Xing-Hua Lu, I-Chien Wu, Chih-Cheng Hsu, Hung-Yi Chiou, Ren-Hua Chung
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Cancers
Subjects:
machine learning
long-term care services
demands prediction
cancer patients
healthcare advancements
sensitivity analysis
Online Access:https://www.mdpi.com/2072-6694/15/18/4598

Internet

https://www.mdpi.com/2072-6694/15/18/4598

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