Exploring the latest highlights in medical natural language processing across multiple languages: A survey
Objectives: This survey aims to provide an overview of the current state of biomedical and
clinical Natural Language Processing (NLP) research and practice in Languages other than …
clinical Natural Language Processing (NLP) research and practice in Languages other than …
Natural language processing: from bedside to everywhere
Objectives: Owing to the rapid progress of natural language processing (NLP), the role of
NLP in the medical field has radically gained considerable attention from both NLP and …
NLP in the medical field has radically gained considerable attention from both NLP and …
Deep learning in clinical natural language processing: a methodical review
Objective This article methodically reviews the literature on deep learning (DL) for natural
language processing (NLP) in the clinical domain, providing quantitative analysis to answer …
language processing (NLP) in the clinical domain, providing quantitative analysis to answer …
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 …
A scoping review of publicly available language tasks in clinical natural language processing
Objective To provide a scoping review of papers on clinical natural language processing
(NLP) shared tasks that use publicly available electronic health record data from a cohort of …
(NLP) shared tasks that use publicly available electronic health record data from a cohort of …
[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 …
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 …
[HTML][HTML] Annotated dataset creation through large language models for non-english medical NLP
J Frei, F Kramer - Journal of Biomedical Informatics, 2023 - Elsevier
Obtaining text datasets with semantic annotations is an effortful process, yet crucial for
supervised training in natural language processing (NLP). In general, developing and …
supervised training in natural language processing (NLP). In general, developing and …
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 …
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 …