SMART HEALTHCARE CONSULTATION FOR CARDIOVASCULAR RISK

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

Copyright & License

Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{169693,
        author = {Yash Mishra and Simran Mandal and Sajal Kaushik and Samiksha Upase and Shruti Awatade and Sudhanshu Kawade},
        title = {SMART HEALTHCARE CONSULTATION FOR  CARDIOVASCULAR RISK},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {6},
        pages = {3820-3823},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=169693},
        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.},
        keywords = {Machine Learning Algorithms, Decision Tree Algorithm And Prediction Algorithm.},
        month = {December},
        }

Cite This Article

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

SMART HEALTHCARE CONSULTATION FOR CARDIOVASCULAR RISK

Related Articles