Survey of Diagnosis Cardiovascular Disease using Ml (Machine Learning) Techniques
- 1. Assistant Professor, Department of Computer Science and Engineering, Dayananda Sagar College of Engineering (Affiliated to Visvesvaraya Technological University (VTU), Belgaum, Karnataka, India
- 2. UG Student, Department of Computer Science and Engineering, Dayananda Sagar College of Engineering (Affiliated to Visvesvaraya Technological University (VTU), Belgaum, Karnataka, India
Description
Heart Disease is one of transience reason in the present age as demonstrated by a particular course of action to diminish the amount of passing’ due to coronary disease, for instance cardiovascular breakdown, hypertension, coronary ailment, Arrhythmia needs to foresee suitably through detection systems. In most recent examination AI strategies has been utilized to enable the wellbeing to mind industry and diagnosis of heart related disease. Numerous amounts of patient’s reports are retained and techniques of machine learning such like K-Nearest Neighbor (KNN), Decision tree, Support Vector Machine (SVM), Naive Bayes, Random forest are used.
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References
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Subjects
- Computer Science / IT Journals
- http://matjournals.com/Engineering-Journals.html