Parallel View Arrangement of Programmed Echocardiogram Examination Utilizing Profound Learning
Authors: R.M. Dhokane, Dnyanda Gadakh, Nutan Gare, Sejal Kukkar, Sakshi Nikam
Country: India
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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, Heart Diseases, Health Prediction
Paper Id: 230141
Published On: 2023-05-19
Published In: Volume 11, Issue 3, May-June 2023
Cite This: Parallel View Arrangement of Programmed Echocardiogram Examination Utilizing Profound Learning - R.M. Dhokane, Dnyanda Gadakh, Nutan Gare, Sejal Kukkar, Sakshi Nikam - IJIRMPS Volume 11, Issue 3, May-June 2023.