Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Opportunities and challenges in developing deep learning models using electronic health records data: a systematic review
801
Zitationen
3
Autoren
2018
Jahr
Abstract
Despite the early success in using deep learning for health analytics applications, there still exist a number of issues to be addressed. We discuss them in detail including data and label availability, the interpretability and transparency of the model, and ease of deployment.
Ähnliche Arbeiten
"Why Should I Trust You?"
2016 · 14.286 Zit.
A Comprehensive Survey on Graph Neural Networks
2020 · 8.651 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.177 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.575 Zit.
Artificial intelligence in healthcare: past, present and future
2017 · 4.404 Zit.