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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
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 …
[書籍][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 …
Downstream task performance of BERT models pre-trained using automatically de-identified clinical data
Automatic de-identification is a cost-effective and straightforward way of removing large
amounts of personally identifiable information from large and sensitive corpora. However …
amounts of personally identifiable information from large and sensitive corpora. However …
De-identification of clinical free text using natural language processing: A systematic review of current approaches
Abstract Background Electronic health records (EHRs) are a valuable resource for data-
driven medical research. However, the presence of protected health information (PHI) …
driven medical research. However, the presence of protected health information (PHI) …
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 …
patient identifiers in electronic health record data. The use of these strategies in multicenter …
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 …
The OpenDeID corpus for patient de-identification
J Jonnagaddala, A Chen, S Batongbacal… - Scientific Reports, 2021 - nature.com
For research purposes, protected health information is often redacted from unstructured
electronic health records to preserve patient privacy and confidentiality. The OpenDeID …
electronic health records to preserve patient privacy and confidentiality. The OpenDeID …
Survey on RNN and CRF models for de-identification of medical free text
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 …
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.
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 …
electronic health record (EHR) systems are an underutilized resource that, with the use of …