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基于支持向量机的单病种医疗费用控制研究 被引量:15

Support Vector Machine Based Analysis of Factors Influencing Medical Expenses in Single Disease
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摘要 目的:通过对医疗费用的主要影响因素进行分析,探寻合理控制医疗费用的有效方法。方法:以2008年广东省6地市7所不同等级医院的甲肝病人的医疗费用资料为样本,采用支持向量机模型对医疗费用进行统计学分析。结果:西药费用在医疗费用构成中所占比例最大。住院天数、医院等级、地区差异、出院情况、性别、支付方式、疾病类型是影响医疗费用的主要因素。结论:要控制医疗费用的快速增长,必须根据医疗费用的影响因素,制定合理的单病种限额付费制度。 Objective: To find effective method control medical expenses by analyzing the main factors influencing medical expenses. Methods: Data on medical expenses in seven hospitals of six cities in Gaangdong were taken as samples, A statistical analysis was conducted on the medical expenses by support vector machine model. Results: West medicine expenses are the largest proportion of medical expenses. Major factors affecting medical expenses are days of hospitalization, hospital level, regional differences, post-hospitalization conditions, sex, payment model, disease entities. Conclusion: In ordre to control the rapid increase of medical expenses, reasonable single disease payment policy must be made according to the major factors affecting medical expenses.
出处 《中国卫生经济》 北大核心 2012年第3期89-91,共3页 Chinese Health Economics
基金 广东省医学科研基金(A2009071)
关键词 医疗费用:支持向量机 单病种限额付费 medical expense support vector machine single disease payment limitation
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