SMART HEALTHCARE CONSULTATION FOR  CARDIOVASCULAR RISK

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Yash Mishra; Simran Mandal; Sajal Kaushik; Samiksha Upase; Shruti Awatade; Sudhanshu Kawade

SMART HEALTHCARE CONSULTATION FOR CARDIOVASCULAR RISK

Authors: Yash Mishra, Simran Mandal, Sajal Kaushik, Samiksha Upase, Shruti Awatade, Sudhanshu Kawade

Unique Paper ID: 169693
Volume: 11
Issue: 6
PageNo: 3820-3823

Keywords: Machine Learning Algorithms Decision Tree Algorithm And Prediction Algorithm.

Abstract:
The proposed idea is to create a smart health consultation using machine learning to give accuracy about heart disease risk a patient will have seen before consulting a doctor. The user can achieve the benefit of a smart health consultation only when it can diagnose a kind of disease and provide the necessary information. People nowadays suffer from a variety of heart diseases as a result of the environment and lifestyle choices. The lengthy process for a patient to visit a diagnostic center and consult a doctor. In machine learning approaches it is easy to solve this difficult problem. The user can easily predict the heart disease risk. The true objective is to design a model that can determine heart disease risk, with accuracy.

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Cite This Article

ISSN: 2349-6002
Volume: 11
Issue: 6
PageNo: 3820-3823

SMART HEALTHCARE CONSULTATION FOR CARDIOVASCULAR RISK

Available:https://ijirt.org/article?manuscript=169693

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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