De-identification of patient notes with recurrent neural networks
Objective: Patient notes in electronic health records (EHRs) may contain critical information
for medical investigations. However, the vast majority of medical investigators can only …
for medical investigations. However, the vast majority of medical investigators can only …
[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 …
Privacy policy and technology in biomedical data science
Privacy is an important consideration when sharing clinical data, which often contain
sensitive information. Adequate protection to safeguard patient privacy and to increase …
sensitive information. Adequate protection to safeguard patient privacy and to increase …
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) …
NOBLE–Flexible concept recognition for large-scale biomedical natural language processing
E Tseytlin, K Mitchell, E Legowski, J Corrigan… - BMC …, 2016 - Springer
Background Natural language processing (NLP) applications are increasingly important in
biomedical data analysis, knowledge engineering, and decision support. Concept …
biomedical data analysis, knowledge engineering, and decision support. Concept …
A survey of big data issues in electronic health record analysis
ABSTRACT The Electronic Health Record (EHR) groups all digital documents related to a
given patient such as anamnesis, results of the laboratory tests, prescriptions, recorded …
given patient such as anamnesis, results of the laboratory tests, prescriptions, recorded …
Disambiguating clinical abbreviations using a one-fits-all classifier based on deep learning techniques
A Jaber, P Martínez - Methods of Information in Medicine, 2022 - thieme-connect.com
Background Abbreviations are considered an essential part of the clinical narrative; they are
used not only to save time and space but also to hide serious or incurable illnesses …
used not only to save time and space but also to hide serious or incurable illnesses …
[HTML][HTML] Evaluating the effects of machine pre-annotation and an interactive annotation interface on manual de-identification of clinical text
Abstract The Health Insurance Portability and Accountability Act (HIPAA) Safe Harbor
method requires removal of 18 types of protected health information (PHI) from clinical …
method requires removal of 18 types of protected health information (PHI) from clinical …
[HTML][HTML] De-identification of clinical notes in French: towards a protocol for reference corpus development
Background To facilitate research applying Natural Language Processing to clinical
documents, tools and resources are needed for the automatic de-identification of Electronic …
documents, tools and resources are needed for the automatic de-identification of Electronic …
Assessing the readability of ClinicalTrials. gov
Objective ClinicalTrials. gov serves critical functions of disseminating trial information to the
public and helping the trials recruit participants. This study assessed the readability of trial …
public and helping the trials recruit participants. This study assessed the readability of trial …