Natural language processing for health-related texts

D Demner-Fushman, N Elhadad… - … : Computer applications in …, 2021 - Springer
Narrative text is an important component of communication in health care, including patient-
specific information in health record reports and notes and general biomedical knowledge …

Natural language processing

H Xu, K Roberts - Intelligent Systems in Medicine and Health: The Role of …, 2022 - Springer
In the biomedical domain, large amounts of data are stored in narrative text, such as clinical
documents in electronic health records (EHRs) and biomedical articles in bibliographic …

Natural Language Processing and Data Mining for Clinical Text.

K Raja, S Jonnalagadda - Healthcare Data Analytics, 2015 - books.google.com
7.1 220 7.2 222 7.2. 1 222 7.2. 2 Report Analyzer.......................................................... 222 7.2. 3
Text Analyzer............................................................ 223 7.2. 4 Core NLP Components …

Natural language processing in mental health research and practice

S Henry, M Yetisgen, O Uzuner - Mental Health Informatics: Enabling a …, 2021 - Springer
Abstract Information relevant to mental health is commonly recorded as unstructured
narrative text. This text may be part of a clinical record, a social media post, a diary, or a …

Natural language processing: algorithms and tools to extract computable information from EHRs and from the biomedical literature

L Ohno-Machado, P Nadkarni… - Journal of the American …, 2013 - academic.oup.com
The increasing adoption of electronic health records (EHRs) and the corresponding interest
in using these data for quality improvement and research have made it clear that the …

Natural language processing in biomedicine: a unified system architecture overview

S Doan, M Conway, TM Phuong… - Clinical bioinformatics, 2014 - Springer
In contemporary electronic medical records much of the clinically important data—signs and
symptoms, symptom severity, disease status, etc.—are not provided in structured data fields …

[HTML][HTML] A method for determining the number of documents needed for a gold standard corpus

D Juckett - Journal of biomedical informatics, 2012 - Elsevier
The unstructured narratives in medicine have been increasingly targeted for content
extraction using the techniques of natural language processing (NLP). In most cases, these …

[HTML][HTML] Comparing natural language processing tools to extract medical problems from narrative text

SM Meystre, PJ Haug - AMIA annual symposium proceedings, 2005 - ncbi.nlm.nih.gov
To help maintain a complete, accurate and timely Problem List, we are developing a system
to automatically retrieve medical problems from free-text documents. This system uses …

[PDF][PDF] Biomedical Text Mining: Applicability of Machine Learning-based Natural Language Processing in Medical Database.

N Mollaei, C Cepeda, J Rodrigues… - Biosignals, 2022 - pdfs.semanticscholar.org
Machine learning has demonstrated superior performance in solving many problems in
various fields of medicine compared to non-machine learning approaches. The aim of this …

A suite of natural language processing tools developed for the I2B2 project

S Goryachev, M Sordo, QT Zeng - AMIA Annual Symposium …, 2006 - ncbi.nlm.nih.gov
Textual medical records contain a wealth of information that needs to be extracted and/or
indexed in order to be analyzed and interpreted by the automated tools. We have developed …