Within the Master's module 18-ha-2020, students learn methods of machine learning in the context of medicine. In particular, medical data are emphasized here. The course material is only available in German.
Lerninhalt
- Introduction, terms and delimitations
- Data acquisition and preprocessing
- Feature extraction and visualization methods
- Statistical fundamentals
- Classification methods
- Linear Regression, Logistic Regression
- Support Vector Machines
- Decision Trees, Random Forest, XGBoost
- Neural Networks
- Overfitting and underfitting with medical data
- Influence of unbalanced data sets
- Evaluation of algorithms
- “Explainable AI”
- Regulatory Requirements
