INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
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.
Keywords:
Deep Learning, Cardiac disease detection, predictive model, medical field,CNN
Cite Article:
"DETECTION OF CARDIAC DISEASE USING DEEP LEARNING", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 5, page no.a253-a256, May-2023, Available :http://www.ijnrd.org/papers/IJNRD2305034.pdf
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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
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