Machine Learning Model for Diagnosis of Pulmonary Arterial Hypertension and Severe Aortic-Valve Stenosis Using Magnetic Resonance Relaxometry Data

This chapter develops and implements a Machine Learning model for the diagnosis of pulmonary arterial hypertension (PAH) and aortic-valve stenosis (AS) from Magnetic resonance relaxometry data that classifies the selected human diseases. The goal is to (i) develop machine learning models to improve the accuracy of predictions and decision-making in different models, (ii) use machine learning techniques for sorting across big datasets to identify hidden trends, patterns, and insights, and (iii) explore the data in the developed models for the diagnosis of human medical conditions.