[HTML][HTML] Automated systems for the de-identification of longitudinal clinical narratives: Overview of 2014 i2b2/UTHealth shared task Track 1
Abstract The 2014 i2b2/UTHealth Natural Language Processing (NLP) shared task featured
four tracks. The first of these was the de-identification track focused on identifying protected …
four tracks. The first of these was the de-identification track focused on identifying protected …
“Big data” and the electronic health record
Objectives: Implementation of Electronic Health Record (EHR) systems continues to expand.
The massive number of patient encounters results in high amounts of stored data …
The massive number of patient encounters results in high amounts of stored data …
Semantic NLP-based information extraction from construction regulatory documents for automated compliance checking
J Zhang, NM El-Gohary - Journal of Computing in Civil Engineering, 2016 - ascelibrary.org
Automated regulatory compliance checking requires automated extraction of requirements
from regulatory textual documents and their formalization in a computer-processable rule …
from regulatory textual documents and their formalization in a computer-processable rule …
[HTML][HTML] De-identification of clinical notes via recurrent neural network and conditional random field
De-identification, identifying information from data, such as protected health information
(PHI) present in clinical data, is a critical step to enable data to be shared or published. The …
(PHI) present in clinical data, is a critical step to enable data to be shared or published. The …
Risk taxonomy, mitigation, and assessment benchmarks of large language model systems
Large language models (LLMs) have strong capabilities in solving diverse natural language
processing tasks. However, the safety and security issues of LLM systems have become the …
processing tasks. However, the safety and security issues of LLM systems have become the …
Privacy protection and secondary use of health data: strategies and methods
D **ang, W Cai - BioMed Research International, 2021 - Wiley Online Library
Health big data has already been the most important big data for its serious privacy
disclosure concerns and huge potential value of secondary use. Measurements must be …
disclosure concerns and huge potential value of secondary use. Measurements must be …
[HTML][HTML] Natural language processing: state of the art and prospects for significant progress, a workshop sponsored by the National Library of Medicine
C Friedman, TC Rindflesch, M Corn - Journal of biomedical informatics, 2013 - Elsevier
Natural language processing (NLP) is crucial for advancing healthcare because it is needed
to transform relevant information locked in text into structured data that can be used by …
to transform relevant information locked in text into structured data that can be used by …
[BOOK][B] Healthcare data analytics
CK Reddy, CC Aggarwal - 2015 - books.google.com
Supplying a comprehensive overview of healthcare analytics research, Healthcare Data
Analytics provides an understanding of the analytical techniques currently available to solve …
Analytics provides an understanding of the analytical techniques currently available to solve …
Protected Health Information filter (Philter): accurately and securely de-identifying free-text clinical notes
There is a great and growing need to ascertain what exactly is the state of a patient, in terms
of disease progression, actual care practices, pathology, adverse events, and much more …
of disease progression, actual care practices, pathology, adverse events, and much more …
[HTML][HTML] Automatic detection of protected health information from clinic narratives
H Yang, JM Garibaldi - Journal of biomedical informatics, 2015 - Elsevier
This paper presents a natural language processing (NLP) system that was designed to
participate in the 2014 i2b2 de-identification challenge. The challenge task aims to identify …
participate in the 2014 i2b2 de-identification challenge. The challenge task aims to identify …