The application study of time series analysis in breast cancer patients’ hospitalized costs

DENG Dan; et al

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The application study of time series analysis in breast cancer patients’ hospitalized costs

更新时间：2024-01-17

- The application study of time series analysis in breast cancer patients’ hospitalized costs
- Journal of Chongqing Medical University Issue 10, Pages: 1065-1069(2007)
- 作者机构：
  
  1. 重庆医科大学公共卫生学院卫生统计与信息管理教研室
  2. 重庆医科大学公共卫生学院卫生统计与信息管理教研室,重庆,400016
- 作者简介：
- 基金信息：
- DOI：
  CLC： R737.9
- Published：2007，
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[1]邓丹,王润华,周燕荣.乳腺癌患者住院医疗费用的时间序列分析应用研究[J].重庆医科大学学报,2007(10):1065-1069.

DENG Dan, et al. The application study of time series analysis in breast cancer patients’ hospitalized costs. [J]. Journal of Chongqing Medical University (10):1065-1069(2007)
[1]邓丹,王润华,周燕荣.乳腺癌患者住院医疗费用的时间序列分析应用研究[J].重庆医科大学学报,2007(10):1065-1069. DOI：

DENG Dan, et al. The application study of time series analysis in breast cancer patients’ hospitalized costs. [J]. Journal of Chongqing Medical University (10):1065-1069(2007) DOI：

摘要

目的:制定乳腺癌患者住院医疗费用的最优预测模型。方法:针对乳腺癌患者的病例资料

分别拟合回归预测模型与时间序列预测模型。结果:①住院医疗费用中比例最大的为药品费

其次为材料费

并呈逐年上升趋势;②住院天数、有无癌灶转移和治疗措施是影响乳腺癌患者住院医疗费用的3个主要因素;③无论一元或多元

时序预测模型效果均优于回归预测模型。结论:对于预测单病种住院医疗费用

时间序列预测模型更具优势。

Abstract

Objective:We establish the most suitable predict model in breast cancer hospitalized costs. Methods:We applied a series of regression predict models and time series predict models to establish the most suitable predict model. Results:①The breast cancer hospitalized costs are higher than before

the biggest proportion of which is drug costs and material costs;②The three major influenced factors of breast cancer hospitalized costs are hospitalized time

finding cancer tissues or not and treatment measures;③Time series predict models are better than regression predict models. Conclusion:The time series analysis will be more advantage to predict the hospitalized costs of single disease. [

关键词

乳腺癌住院医疗费用时间序列分析

Keywords

] Breast cancerHospitalized costsTime series analysis

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