Clinical natural language processing in languages other than English: opportunities and challenges

A Névéol, H Dalianis, S Velupillai, G Savova… - Journal of biomedical …, 2018 - Springer
Background Natural language processing applied to clinical text or aimed at a clinical
outcome has been thriving in recent years. This paper offers the first broad overview of …

[HTML][HTML] Clinical data reuse or secondary use: current status and potential future progress

SM Meystre, C Lovis, T Bürkle… - Yearbook of medical …, 2017 - thieme-connect.com
Objective: To perform a review of recent research in clinical data reuse or secondary use,
and envision future advances in this field. Methods: The review is based on a large literature …

[图书][B] Clinical text mining: Secondary use of electronic patient records

H Dalianis - 2018 - library.oapen.org
Hercules Dalianis Secondary Use of Electronic Patient Records Page 1 Hercules Dalianis
Clinical Text Mining Secondary Use of Electronic Patient Records Page 2 Clinical Text …

[PDF][PDF] Automatic De-identification of Medical Texts in Spanish: the MEDDOCAN Track, Corpus, Guidelines, Methods and Evaluation of Results.

M Marimon, A Gonzalez-Agirre, A Intxaurrondo… - IberLEF …, 2019 - ceur-ws.org
There is an increasing interest in exploiting the content of electronic health records by
means of natural language processing and text-mining technologies, as they can result in …

Recent advances in clinical natural language processing in support of semantic analysis

S Velupillai, D Mowery, BR South… - Yearbook of medical …, 2015 - thieme-connect.com
Objectives: We present a review of recent advances in clinical Natural Language Processing
(NLP), with a focus on semantic analysis and key subtasks that support such analysis …

A French clinical corpus with comprehensive semantic annotations: development of the Medical Entity and Relation LIMSI annOtated Text corpus (MERLOT)

L Campillos, L Deléger, C Grouin, T Hamon… - Language Resources …, 2018 - Springer
Quality annotated resources are essential for Natural Language Processing. The objective
of this work is to present a corpus of clinical narratives in French annotated for linguistic …

A novel covid-19 data set and an effective deep learning approach for the de-identification of italian medical records

R Catelli, F Gargiulo, V Casola, G De Pietro… - Ieee …, 2021 - ieeexplore.ieee.org
In the last years, the need to de-identify privacy-sensitive information within Electronic
Health Records (EHRs) has become increasingly felt and extremely relevant to encourage …

Development and validation of a natural language processing algorithm to pseudonymize documents in the context of a clinical data warehouse

X Tannier, P Wajsbürt, A Calliger… - … of Information in …, 2024 - thieme-connect.com
Objective The objective of this study is to address the critical issue of deidentification of
clinical reports to allow access to data for research purposes, while ensuring patient privacy …

A machine learning based approach to identify protected health information in Chinese clinical text

L Du, C Xia, Z Deng, G Lu, S Xia, J Ma - International journal of medical …, 2018 - Elsevier
Background With the increasing application of electronic health records (EHRs) in the world,
protecting private information in clinical text has drawn extensive attention from healthcare …

De-identifying Spanish medical texts-named entity recognition applied to radiology reports

I Pérez-Díez, R Pérez-Moraga, A López-Cerdán… - Journal of Biomedical …, 2021 - Springer
Background Medical texts such as radiology reports or electronic health records are a
powerful source of data for researchers. Anonymization methods must be developed to de …