CAD – Prediction Model Using Artificial Intelligence

CAD – Prediction Model Using Artificial Intelligence

Shamsur Rahman Khan,  Richa Verma , Sahil Ehsan , Zuhaib Ahmad ,  Deva Singh

Abstract

Heart disease is one of the most rapidly growing diseases worldwide. Detection of artery disease in the early stages is very crucial for providing the right treatment at the right time to escape from any kind of bigger risks, this is where there has been a need of an advanced system that can detect the artery disease to get a control over it at the right time.

This paper proposes a system for the medical professionals, a web application platform developed with MERN Stack for preprocessing the medical data with techniques like Regression, Random Forest, and Gradient Boosting to enhance the data quality and then processing the data by utilizing convolutional neural network machine learning model like VGG16 and ResNet50 to classify the medical data as risk or no-risk.

The convolutional neural network machine learning model is trained by publicly available and clinically validated datasets such as ISIC Archive and HAM10000 for achieving better accuracy and precision.

Keywords —Medical data prediction, artificial intelligence, convolutional neural networks, data preprocessing, machine learning, deep learning