Paper Title
DETECTION OF CARDIAC DISEASE USING DEEP LEARNING
Article Identifiers
Authors
Dr. Rama Abirami K , Siddharth J , Vijay Y Jadav , Shubhansh Singh , Rushikesh Patil
Keywords
Deep Learning, Cardiac disease detection, predictive model, medical field,CNN
Abstract
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.
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How To Cite (APA)
Dr. Rama Abirami K, Siddharth J, Vijay Y Jadav, Shubhansh Singh, & Rushikesh Patil (May-2023). DETECTION OF CARDIAC DISEASE USING DEEP LEARNING. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(5), a253-a256. https://ijnrd.org/papers/IJNRD2305034.pdf
Issue
Volume 8 Issue 5, May-2023
Pages : a253-a256
Other Publication Details
Paper Reg. ID: IJNRD_193188
Published Paper Id: IJNRD2305034
Downloads: 000121986
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
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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition
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