合并多种慢性病的缺血性心脏病患者住院费决策树分析

doi:10.3969/j.issn.1006-5253.2023.05.011

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Abstract Objective To analyze the influencing factors of hospitalization expenses for ischemic heart disease patients with multiple chronic diseases in Xinjiang, and to predict the hospitalization expenses in patients with ischemic heart disease and the key differences.Methods The E-CHAID method was used to analyze the influencing factor data of hospitalization expenses for patients with multiple chronic ischemic heart diseases in Xinjiang, and the data were performed optimal segmentation to establish a case combination model. The structure and scale of the decision tree were controlled by pruning to predict the influencing factors, optimal combination path, and hospitalization expenses of ischemic heart patients with multiple chronic diseases.Results The 5 factors were treatment method, actual length of hospital stay, number of complications, the type of diseases, and chronic kidney disease or not. Through the decision tree model, 14 optimal combination paths are formed. Conclusion The decision tree model can be used to analyze the key factors affecting hospitalization expenses, but also help the health management departments to find the optimal grouping path, so as to provide ideas and assistance for optimizing clinical pathways and reforming medical insurance payments in the future.

Key words： ischemic heart disease hospitalization expense value orientation E-CHAID

Received: 04 March 2023

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	Articles by authors
	Mao Ying
	Sun Lili
	Liu Fang
	Yang Shumei
	Guo Lingli
	Wang Lei

Cite this article:

Mao Ying,Sun Lili,Liu Fang, et al. Decision tree analysis of hospitalization expenses for ischemic heart disease patients with multiple chronic diseases [J]. journal1, 2023, 30(5): 381-386.

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http://manu58.magtech.com.cn/Jwk_zgyytj/EN/10.3969/j.issn.1006-5253.2023.05.011 OR http://manu58.magtech.com.cn/Jwk_zgyytj/EN/Y2023/V30/I5/381

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