Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Use of Natural Language Processing to Translate Clinical Information from a Database of 889,921 Chest Radiographic Reports
200
Zitationen
4
Autoren
2002
Jahr
Abstract
Internal and external validation in this study confirmed the accuracy of natural language processing for translating chest radiographic narrative reports into a large database of information.
Ähnliche Arbeiten
Reduced Lung-Cancer Mortality with Low-Dose Computed Tomographic Screening
2011 · 10.852 Zit.
Pembrolizumab versus Chemotherapy for PD-L1–Positive Non–Small-Cell Lung Cancer
2016 · 9.974 Zit.
Gefitinib or Carboplatin–Paclitaxel in Pulmonary Adenocarcinoma
2009 · 8.220 Zit.
Pembrolizumab versus docetaxel for previously treated, PD-L1-positive, advanced non-small-cell lung cancer (KEYNOTE-010): a randomised controlled trial
2015 · 6.490 Zit.
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
2016 · 5.737 Zit.