Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Benefits and Risks of Machine Learning Decision Support Systems
15
Zitationen
3
Autoren
2017
Jahr
Abstract
To the Editor We would like to contribute to the discussion on the unintended consequences of machine learning in medicine1 by suggesting that the unintended consequences can be viewed as opportunities to drive methodological changes in ML-DSS to improve health care.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.778 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.690 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 8.259 Zit.
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
2019 · 6.901 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.781 Zit.