Binary View Classification of Automatic Echocardiogram Analysis Using Deep Learning
Prof. R.M.Dhokane
, Dnyanda Gadakh , Nutan Gare , Sejal Kukkar , Sakshi Nikam
Health Care Trade, Heart Diseases, Predict, Flask
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.
"Binary View Classification of Automatic Echocardiogram Analysis Using Deep Learning", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.7, Issue 11, page no.1002 - 1005, November-2022, Available :https://ijsdr.org/papers/IJSDR2211149.pdf
Volume 7
Issue 11,
November-2022
Pages : 1002 - 1005
Paper Reg. ID: IJSDR_202782
Published Paper Id: IJSDR2211149
Downloads: 000347204
Research Area: Engineering
Country: -, -, -
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
