Making sense of big textual data for health care: findings from the section on clinical natural language processing
A Névéol, P Zweigenbaum - Yearbook of medical informatics, 2017 - thieme-connect.com
Objectives: To summarize recent research and present a selection of the best papers
published in 2016 in the field of clinical Natural Language Processing (NLP). Method: A …
published in 2016 in the field of clinical Natural Language Processing (NLP). Method: A …
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 …
Clinical natural language processing in 2015: leveraging the variety of texts of clinical interest
A Névéol, P Zweigenbaum - Yearbook of medical informatics, 2016 - thieme-connect.com
Objective: To summarize recent research and present a selection of the best papers
published in 2015 in the field of clinical Natural Language Processing (NLP). Method: A …
published in 2015 in the field of clinical Natural Language Processing (NLP). Method: A …
Clinical natural language processing in 2014: foundational methods supporting efficient healthcare
A Névéol, P Zweigenbaum - Yearbook of Medical Informatics, 2015 - thieme-connect.com
Objective: To summarize recent research and present a selection of the best papers
published in 2014 in the field of clinical Natural Language Processing (NLP). Method: A …
published in 2014 in the field of clinical Natural Language Processing (NLP). Method: A …
Expanding the diversity of texts and applications: findings from the section on clinical natural language processing of the international medical informatics association …
A Névéol, P Zweigenbaum - Yearbook of medical informatics, 2018 - thieme-connect.com
Objectives: To summarize recent research and present a selection of the best papers
published in 2017 in the field of clinical Natural Language Processing (NLP). Methods: A …
published in 2017 in the field of clinical Natural Language Processing (NLP). Methods: A …
Applications of natural language processing in clinical research and practice
Rapid growth in adoption of electronic health records (EHRs) has led to an unprecedented
expansion in the availability of large longitudinal datasets. Large initiatives such as the …
expansion in the availability of large longitudinal datasets. Large initiatives such as the …
Natural language processing in biomedicine: a unified system architecture overview
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 …
symptoms, symptom severity, disease status, etc.—are not provided in structured data fields …
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 …
Natural language processing techniques for clinical text analysis in healthcare
A Janowski - Journal of Advanced Analytics in Healthcare …, 2023 - research.tensorgate.org
Abstract Natural Language Processing (NLP) techniques have emerged as valuable tools
for clinical text analysis in healthcare. This study explores the various applications of NLP …
for clinical text analysis in healthcare. This study explores the various applications of NLP …
Special issue of BMC medical informatics and decision making on health natural language processing
VGV Vydiswaran, Y Zhang, Y Wang, H Xu - BMC medical informatics and …, 2019 - Springer
https://doi. org/10.1186/s12911-019-0777-0 concepts are mentioned in clinical notes and
their impact on information extraction systems. Using number-based keyword queries on a …
their impact on information extraction systems. Using number-based keyword queries on a …