Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Predicting COVID-19 Symptoms From Free Text in Medical Records Using Artificial Intelligence: Feasibility Study
5
Zitationen
5
Autoren
2022
Jahr
Abstract
The artificial intelligence model BERTje can reliably predict COVID-19-related information from medical records using text mining from the free text fields generated in primary care settings. This feasibility study invites researchers to examine further possibilities to use primary care routine data.
Ähnliche Arbeiten
La certeza de lo impredecible: Cultura Educación y Sociedad en tiempos de COVID19
2020 · 19.284 Zit.
A Multi-Modal Distributed Real-Time IoT System for Urban Traffic Control (Invited Paper)
2024 · 14.284 Zit.
UNet++: A Nested U-Net Architecture for Medical Image Segmentation
2018 · 8.708 Zit.
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
2021 · 7.329 Zit.
scikit-image: image processing in Python
2014 · 6.797 Zit.