Paper Key : IRJ************745
Author: Shivani Kishor Nimje
Date Published: 01 Dec 2024
Abstract
In this project, an AI-based prediction system using advanced machine learning algorithms for extreme risk of causing a heart attack based on ECG signal processing is presented. Written in Python utilizing frameworks like TensorFlow, this system implements several different models for the highly precise analysis of health data, such as Logistic Regression, Random Forest, SVM, and Neural Networks. The system also comes with an automated medication manager to foster compliance and limit human error. By using a user-friendly interface and real-time alerting capability, the system would provide an improved outcome for patients, ease caregiver burden, and do their best to avert a heart attack through timely intervention and monitoring.
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