Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Good Practice for Developing Clinical Machine Learning Models
0
Zitationen
3
Autoren
2023
Jahr
Abstract
Machine learning models can help improve diagnostics, identify high-risk patients, target treatments, and predict the effectiveness of treatments. However, there are many pitfalls in developing these models, and as a healthcare professional, it may be relevant to understand them.
Ähnliche Arbeiten
"Why Should I Trust You?"
2016 · 14.218 Zit.
A Comprehensive Survey on Graph Neural Networks
2020 · 8.589 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.109 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.482 Zit.
Artificial intelligence in healthcare: past, present and future
2017 · 4.386 Zit.