基于SVM的在线医疗信息服务质量关键影响因素研究

Key Influencing Factors of Online Medical Information Service Quality Based on SVM

【目的/意义】通过识别影响在线医疗信息服务质量的敏感因素,为互联网在线医疗信息服务企业实现技术与服务创新提供理论与实践依据,进而提升用户在线医疗信息服务质量。【方法/过程】以问卷调查法与专家访谈法等为基础融合信息增益理论分析各影响因素与在线医疗信息服务质量高低的关联程度,进而以提取的关键影响因素构建在线医疗信息服务质量关键影响因素模型,最后通过SVM构建在线医疗信息服务质量预测模型。【结果/结论】影响在线医疗信息服务质量的20个关键影响因素集中在信息生态的四个重要维度,即信息、信息任、信息技术与信息环境四个维度上,模型88.43%的预测精准度说明SVM对在线医疗信息服务质量具有可靠的预测能力。

【Purpose/significance】By identifying the sensitive factors that affect the quality of online medical information service, this paper provides theoretical and practical basis for the realization of technology and service innovation of Internet online medical information service enterprises, so as to improve the quality of online medical information service for users.【Method/process】Based on questionnaire investigation and expert interview method,fusing information gain theory to analyze the influence factors and the connection degree of online medical information service quality, the sensitive influencing factors are extracted and the model for sensitive affecting factors of online medical information service quality is constructed, finally the online medical information service quality prediction model is established through the SVM.【Result/conclusion】The 20 sensitive factors influencing the quality of online medical information service focus on the four important dimensions of information ecology, namely information, information responsibility, information technology and information environment. The prediction accuracy of the model is 88.43%,which indicates that SVM has a reliable prediction ability for the quality of online medical information service. The limitations of the paper is that the limited depth and breadth of the questionnaire, the limited sample size and other reasons may lead to the low prediction accuracy of the model.