Heart Diseases Prediction Using Logistic Regression
Author :
Dr Abha Choubey, Shankar Sharan Tripathi, Anurag Sahu,Harsh Tiwari, Uzair Ahmed, P PriyanshJourna Name:
International Journal of Science, Engineering and Technology Country :
IndiaVolume:
12 issue:2 Year:2024 Views : 410
Abstract:
Abstract: This research paper presents the development and implementation of a heart disease detection system leveraging logistic regression, aimed at augmenting diagnostic accuracy and efficiency in healthcare. The proposed system integrates patient data analysis, feature selection techniques, and logistic regression algorithms to deliver precise predictions tailored to individual health profiles. Through meticulous model refinement and validation, the system’s capabilities have been honed to accurately identify potential heart disease cases based on key indicators such as blood pressure, cholesterol levels, and other pertinent factors. The findings of this research contribute to the ongoing discourse on the integration of machine learning into healthcare practices, offering insights into the design, implementation, and evaluation of predictive models for enhanced disease detection and patient care.