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首页> 外文期刊>International journal of biomedical engineering and technology >Online medical healthcare application for cancer disease prediction based on pattern matching and SVM classifier with MVC (PMSMVC) framework
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Online medical healthcare application for cancer disease prediction based on pattern matching and SVM classifier with MVC (PMSMVC) framework

机译：基于模式匹配和具有MVC（PMSMVC）框架的SVM分类器的在线医疗保健应用程序用于癌症疾病预测

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摘要

A web service is used to provide the appropriate treatment for a patient suffering from cancer. This paper proposes a web service oriented medical healthcare application for the cancer disease prediction, based on Pattern Matching and SVM Classifier with MVC (PMSMVC) framework. The collected patient's data are compiled using SQL YOG, a visual query designer and query formatter. A set of questions (pre-condition pattern) related to the cancer disease are designed, using the MY SQL API scheduler, and it is maintained in the database as well as the MVC framework. The designed set of questionnaires is given to the users through the web browser, and their answers are considered as the input pattern. The pattern matching method is used to match the input pattern and the pre-condition pattern. The SVM will classify whether the pattern has cancer or not. The performance of the proposed method is validated both quantitatively and qualitatively using performance metrics, such as sensitivity, accuracy and specificity.
机译：Web服务用于为患有癌症的患者提供适当的治疗。本文基于模式匹配和带有MVC的SVM分类器（PMSMVC）框架，提出了一种面向Web服务的医疗保健应用程序，用于癌症疾病预测。收集的患者数据使用SQL YOG（一种可视化查询设计器和查询格式化程序）进行编译。使用MY SQL API调度程序设计了与癌症疾病相关的一组问题（前提条件模式），并将其维护在数据库以及MVC框架中。通过网络浏览器将设计好的调查表集提供给用户，并将他们的答案视为输入模式。模式匹配方法用于匹配输入模式和前提条件模式。 SVM将对模式是否患有癌症进行分类。所提方法的性能通过性能指标（如敏感性，准确性和特异性）进行了定量和定性验证。

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