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  Published Paper Details:

  Paper Title

Lifestyle-Driven Heart Disease Prediction: A Logistic Regression Approach

  Authors

  Syed Adnan,  Muteeb Khan,  Abdul Baseer

  Keywords

Machine Learning, Logistic regression, Heart Disease Prediction, Cardiovascular Diseases.

  Abstract


This report details the work done to build a predictive model using Machine Learning techniques to detect whether a person is prone to a heart disease in the next 10 years based on his lifestyle pattern. Heart disease is a major health problem worldwide and is one of the leading causes of death in many countries. Early detection and prevention of heart disease can significantly reduce the risk of mortality and morbidity. In this project, we have developed a predictive machine learning model for heart disease prediction using the various features of patients and detecting whether a patient is prone to heart disease in the near future using Machine Learning techniques. The early prognosis of cardiovascular disease can aid in making decisions on lifestyle changes in high risk patients and in turn reduce the complications, which can be a great milestone in the field of medicine.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2310171

  Paper ID - 244254

  Page Number(s) - b513-b517

  Pubished in - Volume 11 | Issue 10 | October 2023

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Syed Adnan,  Muteeb Khan,  Abdul Baseer,   "Lifestyle-Driven Heart Disease Prediction: A Logistic Regression Approach", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 10, pp.b513-b517, October 2023, Available at :http://www.ijcrt.org/papers/IJCRT2310171.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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