Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
A Short Review of Ethical Challenges in Clinical Natural Language Processing
5
Zitationen
3
Autoren
2017
Jahr
Abstract
Clinical NLP has an immense potential in contributing to how clinical practice will be revolutionized by the advent of large scale processing of clinical records. However, this potential has remained largely untapped due to slow progress primarily caused by strict data access policies for researchers. In this paper, we discuss the concern for privacy and the measures it entails. We also suggest sources of less sensitive data. Finally, we draw attention to biases that can compromise the validity of empirical research and lead to socially harmful applications.
Ähnliche Arbeiten
"Why Should I Trust You?"
2016 · 14.453 Zit.
A Comprehensive Survey on Graph Neural Networks
2020 · 8.774 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.311 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.753 Zit.
Artificial intelligence in healthcare: past, present and future
2017 · 4.456 Zit.