Application of Machine Learning Algorithms in Medical Data Processing

Abstract

Machine learning (ML) leverages sophisticated computation and inference to generate insights, enables the system to reason and learn, and empowers clinician decision making. Starting from data (medical images, biomarkers, patients’ data) and using powerful tools such as convolutional neural networks, classification and regression models, etc., it aims at creating personalized models, adapted to each patient, which can be applied in real clinical practice as a decision support system to doctors.