DETECTION OF CARDIAC DISEASE USING DEEP LEARNING

DETECTION OF CARDIAC DISEASE USING DEEP LEARNING

Registration ID: IJNRD_193188

Published ID: IJNRD2305034

DOI: Click Here to Get

Dr. Rama Abirami K , Siddharth J , Vijay Y Jadav , Shubhansh Singh , Rushikesh Patil

Deep Learning, Cardiac disease detection, predictive model, medical field,CNN

Many medical problems may be diagnosed, detected, and predicted using Deep learning and machine learning. The fundamental goal of this research is to provide doctors with a tool for detecting cardiac abnormalities at a preliminary phase. As a consequence, it will be simpler to provide patients with proper medication while minimizing major side effects. Heart disease has become a serious and widespread condition in recent decades, caused by fat accumulation in the heart as well as poor lifestyle choices. A deep learning model can forecast cardiac-disease using several sorts of characteristics in the dataset. The intent of this system is to enhance the precision of detecting heart disease via deep learning in which the target variable tells whether an individual has cardiovascular disease or not.

Published Paper   E-Certificate

"DETECTION OF CARDIAC DISEASE USING DEEP LEARNING", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 5, page no.a253-a256, May-2023, Available :https://ijnrd.org/papers/IJNRD2305034.pdf

Volume 8 Issue 5, May-2023

Pages : a253-a256

Paper Reg. ID: IJNRD_193188

Published Paper Id: IJNRD2305034

Downloads: 000121109

Research Area: Engineering

Country: Bangalore,udayapura,kanakpura road, Karnataka, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2305034.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2305034

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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