Medical Data Science is the discipline of making medical data useful. It brings together three approaches:
- Descriptive analysis: exploring data to gain inspiration
- Machine learning: generating hypotheses and models
- Statistics: testing hypotheses to guide decisions
This requires programming and data handling, statistical reasoning, and medical expertise.