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ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
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Issue: November 2022

Volume 7 | Issue 11

Impact factor: 8.15

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Paper Title: Binary View Classification of Automatic Echocardiogram Analysis Using Deep Learning
Authors Name: Prof. R.M.Dhokane , Dnyanda Gadakh , Nutan Gare , Sejal Kukkar , Sakshi Nikam
Unique Id: IJSDR2211149
Published In: Volume 7 Issue 11, November-2022
Abstract: It might have happened so many times that you or someone you know needs doctors' help immediately, but they are not available for some reason. The Heart Disease Prediction application is an end-user support and online consultation project. Here, we propose a web application that allows users to get instant guidance on their heart disease through an intelligent system online. The application is fed with various details and the heart diseases associated with those details. The application allows users to share heart-related issues. It then processes user-specific details to check for various illnesses that could be associated with them. Here, we use some intelligent data mining techniques to guess the most accurate illness that could be associated with the patient’s details. The patient can then contact the doctor for further treatment based on the results. The system allows users to view a doctor’s details too. The system can be used for free online heart disease consulting.
Keywords: Health Care Trade, Heart Diseases, Predict, Flask
Cite Article: "Binary View Classification of Automatic Echocardiogram Analysis Using Deep Learning", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.7, Issue 11, page no.1002 - 1005, November-2022, Available :http://www.ijsdr.org/papers/IJSDR2211149.pdf
Downloads: 000150694
Publication Details: Published Paper ID: IJSDR2211149
Registration ID:202782
Published In: Volume 7 Issue 11, November-2022
DOI (Digital Object Identifier):
Page No: 1002 - 1005
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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