Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Automated Identification and Measurement Extraction of Pancreatic Cystic Lesions from Free-Text Radiology Reports Using Natural Language Processing
35
Zitationen
11
Autoren
2021
Jahr
Abstract
An NLP-based system was developed that identifies patients with PCLs and extracts measurements from a large single-institution archive of free-text radiology reports. This approach may prove valuable to study the natural history and potential risks of PCLs and can be applied to many other use cases.<b>Keywords:</b> Informatics, Abdomen/GI, Pancreas, Cysts, Computer Applications-General (Informatics), Named Entity Recognition <i>Supplemental material is available for this article.</i> © RSNA, 2022See also commentary by Horii in this issue.
Ähnliche Arbeiten
The Clavien-Dindo Classification of Surgical Complications
2009 · 10.944 Zit.
Radiomics: Images Are More than Pictures, They Are Data
2015 · 7.971 Zit.
FOLFIRINOX versus Gemcitabine for Metastatic Pancreatic Cancer
2011 · 7.603 Zit.
TGF-β SIGNAL TRANSDUCTION
1998 · 7.557 Zit.
Pancreatic Cancer
2000 · 7.244 Zit.