Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Overdose Risk Prediction Algorithms: The Need For A Comprehensive Legal Framework
0
Zitationen
6
Autoren
2022
Jahr
Abstract
Predictive analytics may have a key role to play in overdose prevention. Before the promise of these technologies can be realized, however, a comprehensive legal framework to address information sharing, privacy, responsibility, and liability is necessary.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.626 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.532 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 8.046 Zit.
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
2019 · 6.843 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.781 Zit.