基于BP神经网络的肺癌手术患者住院费用影响因素分析

Lijuan Huang, X. Liang, J. Zha
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引用次数: 3

摘要

AbstractObjective。基于BP神经网络模型分析肺癌手术患者住院费用的影响因素,为有效控制住院费用提供支持。方法。收集2010年1月至2013年12月168例肺癌手术患者住院数据,基于BP神经网络分析不同分类住院费用的影响因素。结果。药品和耗材费用在住院总费用中所占比例最大,分别为34.35%和23.24%。住院时间是医院费用中最重要的因素。住院时间越长,费用越高,差异有统计学意义(P < 0.05)。结论。医院应合理控制药品和耗材收费,有效缩短住院时间,减轻医院的经济负担。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of Factors Influencing Hospitalization Costs for Patients with Lung Cancer Surgery Based on the BP Neural Network
AbstractObjective. To analyze the factors influencing the hospitalization costs of patients undergoing lung cancer surgery, based on the back-propagation (BP) neural network model, and to provide support for controlling the costs effectively. Method. To collect the hospitalization data of 168 cases of patients with lung cancer surgery from January 2010 to December 2013, and then analyze the influencing factors of the different classified hospitalization costs based on the BP neural network. Results. The expenses on drugs and consumables comprise the largest proportion of the total cost of hospitalization, at 34.35% and 23.24% respectively. The length of hospital stay is the most important factor in the hospital costs. The patients with longer hospital stay have higher costs and the difference is significant (P < 0.05). Conclusion. The hospitals should control their charges on drugs and consumables reasonably and reduce the length of hospital stay effectively, so as to reduce the economic burden on lung ca...
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