[HTML][HTML] 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 …

Downstream task performance of BERT models pre-trained using automatically de-identified clinical data

T Vakili, A Lamproudis, A Henriksson… - Proceedings of the …, 2022 - aclanthology.org
Automatic de-identification is a cost-effective and straightforward way of removing large
amounts of personally identifiable information from large and sensitive corpora. However …

Strategies for de-identification and anonymization of electronic health record data for use in multicenter research studies

CA Kushida, DA Nichols, R Jadrnicek, R Miller… - Medical care, 2012 - journals.lww.com
Background: De-identification and anonymization are strategies that are used to remove
patient identifiers in electronic health record data. The use of these strategies in multicenter …

[HTML][HTML] 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 …

[HTML][HTML] Survey on RNN and CRF models for de-identification of medical free text

JL Leevy, TM Khoshgoftaar, F Villanustre - Journal of Big Data, 2020 - Springer
The increasing reliance on electronic health record (EHR) in areas such as medical
research should be addressed by using ample safeguards for patient privacy. These records …

[PDF][PDF] HEALTH BANK-A Workbench for Data Science Applications in Healthcare.

H Dalianis, A Henriksson, M Kvist, S Velupillai… - CAiSE Industry …, 2015 - folk.idi.ntnu.no
The enormous amounts of data that are generated in the healthcare process and stored in
electronic health record (EHR) systems are an underutilized resource that, with the use of …

De-identification of clinical free text using natural language processing: A systematic review of current approaches

A Kovačević, B Bašaragin, N Milošević… - Artificial Intelligence in …, 2024 - Elsevier
Abstract Background Electronic health records (EHRs) are a valuable resource for data-
driven medical research. However, the presence of protected health information (PHI) …

Evaluating pretraining strategies for clinical BERT models

A Lamproudis, A Henriksson… - Proceedings of the …, 2022 - aclanthology.org
Research suggests that using generic language models in specialized domains may be sub-
optimal due to significant domain differences. As a result, various strategies for developing …