Medical artificial intelligence: deep learning for complex medical data

Introduction

What this guide covers

Introduction Clinical Data Science and Predictive Medicine

Overview

Topics covered

• Introduction
• Medical Artificial Intelligence: Deep Learning for Clinical Data
• Taxonomy of Complex Medical Data
• Statistical and Clinical Challenges of Biomedical Data
• 2.1 Extreme Class Imbalance and Asymmetric Cost of Error
• 2.2 Collector Biases, Domain Shift and Covariate Shift

Related concepts

Main connections

• Survival analysis & Kaplan-Meier
• Logistic regression
• Neural networks & deep learning
• Self-attention & Transformer architectures
• Diagnostic test evaluation & ROC
• Supervised machine learning

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