Prediction of Heart Disease Using Logistic Regression Algorithm

Autor: K. V. Siva Prasad Reddy
Rok vydání: 2022
Předmět:
Zdroj: International Journal for Research in Applied Science and Engineering Technology. 10:1352-1355
ISSN: 2321-9653
DOI: 10.22214/ijraset.2022.47181
Popis: In this research paper, we have carried out a Logistic regression Model utilizing a heart dataset. First We utilized Linear Regression however it didn't give exact results.So we utilized Logistic Regression which at long last aided in foreseeing regardless of whether a specific individual gets a respiratory failure. A heart attack, likewise called a myocardial localized necrosis, happens when a piece of the heart muscle doesn't get sufficient blood. The additional time that elapses without treatment to re-establish blood stream, the more noteworthy the harm to the heart muscle. Coronary vein illness (CAD) is the primary driver of heart attack. We attempted to foresee whether an individual gets respiratory failure via preparing a model with some heart related features
Databáze: OpenAIRE
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