Heart Disease Ai Diagnostic System

Heart Disease AI Diagnostic System

Developed an AI-powered Heart Disease Diagnostic System that predicts the likelihood of heart disease using machine learning algorithms based on patient clinical data. The system assists healthcare professionals by providing fast, accurate, and data-driven risk assessments to support early diagnosis and preventive care.

Key Features:

Heart disease risk prediction using machine learning.

Patient data preprocessing and feature engineering.

Data cleaning, missing value handling, and normalization.

Model training, evaluation, and performance comparison.

Real-time prediction through an interactive user interface.

Clear presentation of diagnostic results for decision support.

Technologies Used:

Python

Pandas

NumPy

Scikit-learn

Matplotlib

Flask / Streamlit (if applicable)

Jupyter Notebook

Outcome:

Built an intelligent diagnostic system capable of analyzing patient health data and predicting heart disease risk with high accuracy, demonstrating the practical application of artificial intelligence in healthcare and clinical decision support.