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

Background Mental disorders are increasingly prevalent, leading to increased medical expenditures. To refine the reimbursement of medical costs for inpatients with mental disorders by health insurance, an accurate prediction model is essential. Per-diem payment is a common internationally implemente...

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Bibliographic Details
Published in:	BMC psychiatry Vol. 25; no. 1; pp. 33 - 16
Main Authors:	Ma, Yuxuan, Tu, Xi, Luo, Xiaodong, Hu, Linlin, Wang, Chen
Format:	Journal Article
Language:	English
Published:	London BioMed Central 09.01.2025 BioMed Central Ltd Springer Nature B.V BMC
Subjects:	Activities of daily living Adult Aged Algorithms Analysis Call for papers - Psycho-Oncology Care and treatment China Classification Cost prediction Demographic aspects Diagnosis Female Health care expenditures Health insurance Hospitalization - economics Humans Inpatient care Inpatients Inpatients with mental disorders Learning algorithms Machine Learning Male Medical care, Cost of Medicine Medicine & Public Health Mental depression Mental disorders Mental Disorders - economics Mental illness Methods Middle Aged Patients Prediction models Prevalence studies (Epidemiology) Psychiatry Psychotherapy Resource allocation Young Adult China Inpatients with mental disorders Cost prediction Machine learning
ISSN:	1471-244X, 1471-244X
Online Access:	Get full text
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