Machine-learning-based cost prediction models for inpatients with mental disorders in China

Machine learning algorithms, particularly RF algorithm, enhance accuracy of predicting ADHC for mental health patients. The findings of this study provide evidence for setting up more reasonable insurance payment standards for inpatients with mental disorders and support resource allocation in clinical practice.

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Publication Details

Journal
BMC Psychiatry
Published
2025-01-09
DOI
https://doi.org/10.1186/s12888-024-06358-y
Citations
2
Primary Topic
Mental Health Treatment and Access
Type
article
Field-Weighted Citation Impact
4.88

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article

Machine-learning-based cost prediction models for inpatients with mental disorders in China

Xi Tu, Xiaodong Luo, Yuxuan Ma, Linlin Hu et al.
2 citations
BMC Psychiatry
Mental Health Treatment and Access
4.88
article

Machine-learning-based cost prediction models for inpatients with mental disorders in China

Xi Tu, Xiaodong Luo, Yuxuan Ma, Linlin Hu, Chen Wang
article en
2 citations

Abstract

Machine learning algorithms, particularly RF algorithm, enhance accuracy of predicting ADHC for mental health patients. The findings of this study provide evidence for setting up more reasonable insurance payment standards for inpatients with mental disorders and support resource allocation in clinical practice.

BMC PsychiatryVol. 25(1)
Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Peking Union Medical College Hospital (CN), National Clinical Research Center for Digestive Diseases (CN), Jinhua Central Hospital (CN)
Chinese Academy of Medical Sciences, Chinese Academy of Engineering
Decent work and economic growth
Openalex Percentile: Top 8%
Mental Health Treatment and Access
4.88
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Machine-learning-based cost prediction models for inpatients with mental disorders in China — Xi Tu, Xiaodong Luo, et al. · BMC Psychiatry (2025) | TGRS Research Map | TGRS