Machine Learning for Patient Stratification and Classification Part 1: Data Preparation and Analysis

Abstract

Machine Learning for Phenotyping is composed of three chapters and aims to introduce clinicians to machine learning (ML). It provides a guideline through the basic concepts underlying machine learning and the tools needed to easily implement it using the Python programming language and Jupyter notebook documents. It is divided into three main parts: part 1-data preparation and analysis; part 2-unsupervised learning for clustering, and part 3-supervised learning for classification.