ISSN No:2250-3676
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Scholarly Peer Reviewed and Fully Referred Open Access Multidisciplinary Monthly Research Journal


    Evaluation Of Conventional And New Risk Factors For The Prediction Of Sudden Cardiac Arrest Using ML Tools

    1V.V.R.L.S.Gangadhar, 2Dr G Rajesh Chandra

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    ID: 311

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    Abstract :

    Published:

    15-4-2023

    Issue:

    Vol. 23 No. 4 (2023)


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    This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

    How to Cite

    1V.V.R.L.S.Gangadhar, 2Dr G Rajesh Chandra, Evaluation of conventional and new risk factors for the prediction of sudden cardiac arrest using ML Tools , 2023, International Journal of Engineering Sciences and Advanced Technology, 23(4), Page , ISSN No: 2250-3676.

    DOI: