Clinical natural language processing in languages other than English: opportunities and challenges
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 …
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 …
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 …
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.
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 …
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
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 …
(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)
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 …
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
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 …
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 …
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 …
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 …
powerful source of data for researchers. Anonymization methods must be developed to de …