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)
Cardiovascular disease is becoming the most common reason for death. In today’s time heart cases have grown rapidly in the past few years, thus it's important to identify potential illnesses in advance. The estimate is a difficult task and requires accuracy. This research aims to figure out whether the person is having any heart illness, using machine learning to design the prediction model of heart illness a variety of methods including KNN, SVM, and logistic classifier have been implemented. The model's ability to develop the precision of forecasting heart illness in each individual was calibrated using a highly valuable technique. The strength of the proposed model was very satisfactory. The model accuracy was evaluated using various machine algorithms KNN, logistic classifier, and SVM to analyse the signs of heart illness in specific individuals.
"Heart Disease Prediction Using Machine Learning ", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 6, page no.e555-e560, June-2023, Available :http://www.ijnrd.org/papers/IJNRD2306465.pdf
Downloads:
000118778
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
Facebook Twitter Instagram LinkedIn