Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Overcoming the data barrier: transfer learning for 90-day mortality prediction in general surgery – a retrospective multicenter development and comparison study
0
Zitationen
16
Autoren
2025
Jahr
Abstract
Machine learning outperforms conventional risk modeling in preoperative mortality prediction. TL can significantly enhance model performance in surgical domains with limited data availability, offering a promising approach to overcome persisting data constraints for AI in surgery.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.561 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.452 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.948 Zit.
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
2019 · 6.797 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.781 Zit.