医院智能化信息系统中的大数据分析与应用研究  

Research on Big Data Analysis and Application in Hospital Intelligent Information System

作　　者：赵明 ZHAO Ming(Guilin Social Welfare Hospital,Guilin,Guangxi 541001,China)

机构地区：[1]桂林市社会福利医院,广西桂林541001

出　　处：《移动信息》2025年第1期181-183,共3页Mobile Information

摘　　要：文中基于医院智能化信息系统中的海量医疗数据,利用机器学习算法构建了一个高效、准确的疾病预测模型。该模型可以综合利用患者的多维度特征,包括人口统计学信息、既往病史、检验检查结果等,并通过支持向量机(SVM)算法进行训练和预测。实验结果表明,该模型具有良好的泛化能力和稳健性,为智能辅助诊断和疾病早期预警提供了新的思路,对提高医疗服务质量和效率具有重要意义。Based on the massive medical data in the hospital intelligent information system,an efficient and accurate disease prediction model is constructed using ML(Machine Learning)algorithm.The model can comprehensively utilize the multidimensional features of patients,including demographics information,past medical history,inspection results,etc.,and be trained and predicted by the Support Vector Machine(SVM)algorithm.The experimental results show that the model has good generalization ability and robustness,which provides a new idea for intelligent assisted diagnosis and disease early warning,and is of great significance to improve the quality of service and efficiency of medical care.

关 键 词：疾病预测 机器学习 支持向量机 智能辅助诊断 

分 类 号：TP306.1[自动化与计算机技术—计算机系统结构]