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)
Heart disease is a common effect on people from ancient time. There are different types of heart disease types they approach patients with effective blood pressures to overcome this the best approach is to use medical image processing techniques the one best approach is to use convolutional neural networks that model will analyze and classify the pixel datasets. The dataset is used for the study of various lifestyle-related features of an individual that can be age and sex also blood pressure. The convolutional neural network model uses the best dataset to demonstrate that model is reached the high accuracy level or not. For detection we need a best analyzing tool to process the medical images and to produce a accurate high efficient results.
Keywords:
Trained model, CNN-based model, flatten, stride, deep learning, classifiers, pixel data structure.
Cite Article:
"Prediction of Heart Disease Symptoms using Convolutional Neural network", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 6, page no.e194-e200, June-2023, Available :http://www.ijnrd.org/papers/IJNRD2306426.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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