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Electronic recording system-heart disease prediction system

机译:电子记录系统-心脏病预测系统

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摘要

In medical field there is a growing need for development of software to be used for practical applications rather than only in research field. Doctors need not only to know the main symptoms in a patient but also the other factors in life and surrounding that lead to disease in the patient. For collecting all the necessary information about the patient the doctors needs to spend a lot of time with the patient asking necessary questions to get the important details. The doctor needs to document all the data for further use and needs to keep track of all the patient details and remedies. The proposed system is intended to develop an Intelligent System using data mining modeling technique, namely, Naive Bayes. It is implemented as Java application in which user answers the predefined questions. It retrieves hidden data from stored database and compares the user values with trained data set. It can answer complex queries for diagnosing heart disease and thus assist healthcare practitioners to make intelligent clinical decisions which traditional decision support systems cannot.
机译:在医学领域,对开发用于实际应用的软件的需求不断增长,而不仅仅是在研究领域。医生不仅需要了解患者的主要症状,还需要了解导致患者疾病的生活和周围环境的其他因素。为了收集有关患者的所有必要信息,医生需要花费大量时间与患者询问必要的问题以获取重要的细节。医生需要记录所有数据以备将来使用,并且需要跟踪所有患者的详细信息和补救措施。拟议的系统旨在使用数据挖掘建模技术(即朴素贝叶斯)来开发智能系统。它作为Java应用程序实现,用户可以在其中回答预定义的问题。它从存储的数据库中检索隐藏的数据,并将用户值与经过训练的数据集进行比较。它可以回答用于诊断心脏病的复杂查询,从而帮助医疗保健从业人员做出传统决策支持系统无法做出的明智的临床决策。

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