Extracting information from textual documents in the electronic health record: a review of recent research

SM Meystre, GK Savova… - Yearbook of medical …, 2008 - thieme-connect.com
Objectives We examine recent published research on the extraction of information from
textual documents in the Electronic Health Record (EHR). Methods Literature review of the …

Use of natural language processing to extract clinical cancer phenotypes from electronic medical records

GK Savova, I Danciu, F Alamudun, T Miller, C Lin… - Cancer research, 2019 - AACR
Current models for correlating electronic medical records with-omics data largely ignore
clinical text, which is an important source of phenotype information for patients with cancer …

Clinical concept extraction using transformers

X Yang, J Bian, WR Hogan, Y Wu - Journal of the American …, 2020 - academic.oup.com
Objective The goal of this study is to explore transformer-based models (eg, Bidirectional
Encoder Representations from Transformers [BERT]) for clinical concept extraction and …

Mayo clinical Text Analysis and Knowledge Extraction System (cTAKES): architecture, component evaluation and applications

GK Savova, JJ Masanz, PV Ogren… - Journal of the …, 2010 - academic.oup.com
We aim to build and evaluate an open-source natural language processing system for
information extraction from electronic medical record clinical free-text. We describe and …

[图书][B] Handbook of natural language processing

N Indurkhya, FJ Damerau - 2010 - taylorfrancis.com
The Handbook of Natural Language Processing, Second Edition presents practical tools
and techniques for implementing natural language processing in computer systems. Along …

[HTML][HTML] The interaction of domain knowledge and linguistic structure in natural language processing: interpreting hypernymic propositions in biomedical text

TC Rindflesch, M Fiszman - Journal of biomedical informatics, 2003 - Elsevier
Interpretation of semantic propositions in free-text documents such as MEDLINE citations
would provide valuable support for biomedical applications, and several approaches to …

Automatic de-identification of textual documents in the electronic health record: a review of recent research

SM Meystre, FJ Friedlin, BR South, S Shen… - BMC medical research …, 2010 - Springer
Abstract Background In the United States, the Health Insurance Portability and
Accountability Act (HIPAA) protects the confidentiality of patient data and requires the …

[HTML][HTML] Agreement between patient-reported symptoms and their documentation in the medical record

S Pakhomov, SJ Jacobsen, CG Chute… - The American journal of …, 2008 - ncbi.nlm.nih.gov
Objective To determine the agreement between patient-reported symptoms of chest pain,
dyspnea and cough and the documentation of these symptoms by physicians in the …

Automated detection of adverse events using natural language processing of discharge summaries

GB Melton, G Hripcsak - Journal of the American Medical …, 2005 - academic.oup.com
Objective: To determine whether natural language processing (NLP) can effectively detect
adverse events defined in the New York Patient Occurrence Reporting and Tracking System …

[HTML][HTML] Text mining of cancer-related information: review of current status and future directions

I Spasić, J Livsey, JA Keane, G Nenadić - International journal of medical …, 2014 - Elsevier
Purpose This paper reviews the research literature on text mining (TM) with the aim to find
out (1) which cancer domains have been the subject of TM efforts,(2) which knowledge …