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应用分类模型研究迟发性颅脑损伤的影响因素

史宝鹏 段迅 孔广黔 吴云

计算机技术与发展2018,Vol.28Issue(3):201-204,4.
计算机技术与发展2018,Vol.28Issue(3):201-204,4.DOI:10.3969/j.issn.1673-629X.2018.03.043

应用分类模型研究迟发性颅脑损伤的影响因素

Study on Influencing Factors of Delayed Craniocerebral Brain Injury by Classification Model

史宝鹏 1段迅 1孔广黔 1吴云1

作者信息

  • 1. 贵州大学 计算机科学与技术学院,贵州 贵阳550025
  • 折叠

摘要

Abstract

The delayed brain injury is one of the common diseases of endangering human health and life.According to SPSS statistical a-nalysis software to analyze the existing patient information,we use the model joint application technology to give the regression equation with the logistic regression as the main model,explore the interaction between variables with decision tree model as the auxiliary and guide the logistic regression modeling with the exploration results,which makes the model more accurate.The experiments show that the hormone is the most important factor in preventing delayed brain injury.The diastolic blood pressure and the platelet have a great influ-ence on the occurrence of delayed brain injury,and the interaction of them do so at the same time.The study can find the main cause of delayed brain injury faster and better,which assists the doctors to determine whether the patients have a delayed brain injury and to make a more accurate diagnosis and treatment program for reduction of the probability of patients with delayed traumatic brain injury.

关键词

数据挖掘/分类模型/逻辑回归/决策树/医疗

Key words

data mining/classification model/logistic regression/decision tree/medical treatment

分类

信息技术与安全科学

引用本文复制引用

史宝鹏,段迅,孔广黔,吴云..应用分类模型研究迟发性颅脑损伤的影响因素[J].计算机技术与发展,2018,28(3):201-204,4.

基金项目

贵州省科技计划项目:基层远程诊断服务平台云数据中心(黔科中引地[2016]4008号) (黔科中引地[2016]4008号)

计算机技术与发展

OACSTPCD

1673-629X

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