with the rampant increase in the heart stroke rates at juvenile ages, we need to put a system in place to be able to detect the symptoms of a heart stroke at an early stage and thus prevent it. It is impractical for a common man to frequently undergo costly tests like the ECG and thus there needs to be a system in place which is handy and at the same time reliable, in predicting the chances of a heart disease. Thus we propose to develop an application which can predict the vulnerability of a heart disease given basic symptoms like age, sex, pulse rate etc. The machine learning algorithm neural networks has proven to be the most accurate and reliable algorithm and hence used in the proposed system.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Prediction of Heart Disease Using Machine Learning


    Contributors:


    Publication date :

    2018-03-01


    Size :

    5666952 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Heart Disease Prediction Using Machine Learning Algorithms

    Mammen, Rea / Pawar, Arti | Springer Verlag | 2023


    Identification of Heart Disease Using Machine Learning Approach

    Anbukkarasi, S / Varadhaganapathy, S / Indhiraprakash, P et al. | IEEE | 2021


    Evaluating the Effective Machine Learning Techniques for Early Prediction of Heart Disease

    Freeda, S Ezhilin / T, Nithya Shree / Selvan, T.C.Ezhil | IEEE | 2023


    A Machine-Learning Approach to Detect Heart Disease

    Pant, Janmejay / Singh, Devendra / Sharma, Vaibhav et al. | IEEE | 2024


    Machine Learning-Based Alzheimer's Disease Prediction using Textual Data

    Keerthika, S / Priyanka, S / Jayadharshini, P et al. | IEEE | 2023