摘要
迟发性颅脑损伤是危害人类健康及生命的常见疾病之一。文中使用SPSS统计分析软件根据已有的患者信息进行分析,并使用模型联合应用技术,以逻辑回归为主模型给出明确的回归方程;以决策树模型为辅助模型探索变量间的交互作用;用探索结果指导逻辑回归的建模,使得模型更加准确。实验结果表明,激素是预防迟发性颅脑损伤作用最大的因素;舒张压和血小板对迟发性颅脑损伤的发生也有较大影响;同时,舒张压和血小板交互作用对迟发性颅脑损伤的发生也有一定影响。这一研究发现能更快更好地找出导致迟发性颅脑损伤的主要原因,辅助医生对患者是否发生迟发性颅脑损伤做出判断并做出更为精准的诊疗方案,降低患者发生迟发性颅脑损伤的概率。
The delayed brain injury is one of the common diseases of endangering human health and life.According to SPSS statistical analysis 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 showthat the hormone is the most important factor in preventing delayed brain injury.The diastolic blood pressure and the platelet have a great influence 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.
出处
《计算机技术与发展》
2018年第3期201-204,共4页
Computer Technology and Development
基金
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)
关键词
数据挖掘
分类模型
逻辑回归
决策树
医疗
data mining
classification model
logistic regression
decision tree
medical treatment