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Risk prediction for patients with Atrial Fibrillation
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Classroom Contents
Data Science Supporting Clinical Decision Making - What, Why, How?
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- 1 Intro
- 2 Heaps of clinical data
- 3 Patient-derived data
- 4 Informatics in Medicine: Structured representations
- 5 Electronic Health Records: Texts!
- 6 "Evidence-based" Medicine
- 7 Systematic Review of Evidence
- 8 Natural Experiments through data
- 9 Timelines of clinical events
- 10 Clinical journeys captured in data
- 11 Answering Clinical Questions with EHR Data
- 12 Risk prediction for patients with Atrial Fibrillation
- 13 Structured vs Unstructured data
- 14 Extracting key concepts
- 15 Automated Information Extraction
- 16 Family History Relation Extraction
- 17 Neural methods for Information Extraction
- 18 DRG prediction methods
- 19 Medical data characteristics
- 20 Reusability
