Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Mitigation of outcome conflation in predicting patient outcomes using electronic health records
2025·3 Zitationen·Journal of the American Medical Informatics AssociationOpen Access
Volltext beim Verlag öffnen3
Zitationen
6
Autoren
2025
Jahr
Abstract
The number of predicted outcomes needs to be carefully considered when employing AI disease risk prediction models.
Ähnliche Arbeiten
"Why Should I Trust You?"
2016 · 14.198 Zit.
A Comprehensive Survey on Graph Neural Networks
2020 · 8.576 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.084 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.444 Zit.
Artificial intelligence in healthcare: past, present and future
2017 · 4.382 Zit.
Autoren
Institutionen
Themen
Machine Learning in HealthcareArtificial Intelligence in Healthcare and EducationAI in cancer detection