Determinants of 3-month-mortality after intracerebral haemorrhage (ICH) of patients with atrial fibrillation (AF) – results from the Registry of Acute Stroke Under Novel Oral Anticoagulants-prime (RASUNOA-prime)
Introduction: Intracerebral Haemorrhage (ICH) has a high mortality. Valid models for predicting risk of death in ICH patients 3 months after the event are lacking. Machine learning algorithms are increasingly proposed for improving risk prediction. We compared the results of machine learning with those [for full text, please go to the a.m. URL]
Institutions
- Zimmer Biomet (Netherlands) (NL)
- Heidelberg University (DE)
- University of Würzburg (DE)
- University Hospital Heidelberg (DE)
- Alfried Krupp Hospital (DE)
- Imperial College London (GB)
Publication Details
- Journal
- German Medical Science (German Research Foundation)
- Published
- 2025-11-03
- DOI
- https://doi.org/10.3205/25gmds027
- Primary Topic
- Intracerebral and Subarachnoid Hemorrhage Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00