Heart disease is synonymous with heart attacks and strokes. But, cardiovascular disease also includes maladies like coronary artery disease (CAD), heart arrhythmias, hypertension, congenital heart disease, etc. Heart disease plagues a majority of the population today and is the leading cause of death globally. Efficient prediction systems to diagnose heart diseases are a must in the health care industry. Such systems are already in use but there is scope for improvement and with technological advancement over the years, the accuracy of disease prediction has been improved. Machine learning is a branch of artificial intelligence that predicts several naturally occurring events by training a model with some data and then using unseen data to test it. This paper seeks to analyze a few machine learning algorithms and tests their accuracy in predicting heart diseases.


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    Titel :

    Heart Disease Prediction Using Machine Learning Algorithms


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Chokkadi, Shreesha (Herausgeber:in) / Bandyopadhyay, Rajib (Herausgeber:in) / Mammen, Rea (Autor:in) / Pawar, Arti (Autor:in)


    Erscheinungsdatum :

    12.03.2023


    Format / Umfang :

    15 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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