Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Design and Evaluation of AI-Powered Framework for Improving Data Quality in Disease and Health Outcome Registries: Study Protocol For A Mixed-Methods Study
0
Zitationen
5
Autoren
2026
Jahr
Abstract
Data quality is essential for effective decision-making and evidence generation in health systems. Despite the increasing use of disease and health outcome registries, many systems suffer from missing, inconsistent, and inaccurate data, limiting their
Ähnliche Arbeiten
"Why Should I Trust You?"
2016 · 14.528 Zit.
A Comprehensive Survey on Graph Neural Networks
2020 · 8.815 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.377 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.835 Zit.
Artificial intelligence in healthcare: past, present and future
2017 · 4.472 Zit.