Clinical Machine Learning: Overview — Artificial Intelligence in Medicine

Introduction

What this guide covers

Introduction Introduction AI · Artificial Intelligence · Precision Medicine

Overview

Topics covered

• Introduction
• Clinical Machine Learning
• History and Evolution of Clinical ML
• Mathematical and Statistical Foundations
• The Learning Problem — Formalization
• Bias-Variance Decomposition

Related concepts

Main connections

• Model interpretability (SHAP / LIME)
• Neural networks & deep learning
• Supervised machine learning
• Diagnostic test evaluation & ROC
• Regularization (Lasso / Ridge / Elastic Net)
• Data & information leakage