Efficient heart disease prediction system using decision tree
作者： Purushottam , Kanak Saxena , Richa Sharma
DOI: 10.1109/CCAA.2015.7148346
关键词: Disease 、 Data science 、 Medical diagnosis 、 Heart disease 、 Risk analysis (engineering) 、 Automation 、 Task (project management) 、 Identification (information) 、 Specialty 、 Decision tree 、 Computer science
摘要: Cardiovascular disease (CVD) is a big reason of morbidity and mortality in the current living style. Identification an important but complex task that needs to be performed very minutely, efficiently correct automation would desirable. Every human being can not equally skillful so as doctors. All doctors cannot skilled every sub specialty at many places we don't have specialist available easily. An automated system medical diagnosis enhance care it also reduce costs. In this study, designed discover rules predict risk level patients based on given parameter about their health. The prioritized user's requirement. performance evaluated terms classification accuracy results shows has great potential predicting heart more accurately.
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