Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Artificial intelligence guided predicting the length of hospital-stay in a neurosurgical hospital based on the text data of electronic medical records
5
Zitationen
6
Autoren
2022
Jahr
Abstract
This study demonstrated the possibility of using unstructured textual data to predict the length of hospital-stay in a neurosurgical hospital.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.303 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.155 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.555 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.776 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.453 Zit.