Overview
AI Heart Failure Prediction is an intelligent healthcare decision-support system that combines machine learning prediction models with Large Language Models (LLMs) to estimate heart failure risk and automatically generate personalized clinical insights through a web-based platform.
Problem to Solve
Traditional machine learning models often provide numerical predictions without clear explanations, making results difficult for non-technical users to interpret. The challenge was to create an AI-driven system capable of predicting heart failure risk while delivering understandable and actionable insights for healthcare professionals and patients.
Solution Approach
Developed a machine learning pipeline to predict heart failure risk based on patient clinical data, including demographic information, laboratory results, and medical indicators. The prediction model analyzes input features and produces risk probabilities in real time.
To improve interpretability, the prediction output is integrated with a Large Language Model (LLM) that automatically generates human-readable explanations, risk assessments, and personalized recommendations. The system is deployed through a FastAPI backend and accessible via a web-based interface for seamless interaction and real-time inference.
Key Technologies
- Python
- Machine Learning
- Large Language Models (LLM)
- FastAPI
- REST API
- Healthcare Analytics
- Predictive Modeling
- Web Application