Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Components of Language01:24

Components of Language

Language, whether spoken, signed, or written, consists of specific components: lexicon and grammar. The lexicon is the vocabulary of a language, comprising its words. Grammar is the set of rules used to convey meaning through the lexicon. For example, English grammar adds “-ed” to most verbs to indicate past tense. Words are formed by combining phonemes, which are the basic sound units of a language. Different languages have different sets of phonemes (e.g., “ah” vs. “eh”). Phonemes combine to...
Introduction to Language of Pathophysiology ll01:17

Introduction to Language of Pathophysiology ll

This lesson explores key terms that describe how diseases progress, their outcomes, and their distribution in populations.Diagnostic tests identify diseases and monitor treatment. These include blood and urine tests, biopsies, imaging (X-ray, MRI), and detection of infectious agents.Remission is a reduction or disappearance of symptoms.Exacerbation refers to the worsening of symptoms, such as increased wheezing during an asthma attack.A precipitating factor triggers an acute episode, while a...
Statistical Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Identifying subgroups of ICU patients with high mortality rates using machine learning: A nationwide, population-based study.

Journal of critical care·2026
Same author

Mapping the terminology of the early rescue chain to the Foundation of ICD-11: Registered report protocol.

PloS one·2026
Same author

Detecting Patients with Chronic Kidney Disease Using General Practitioner Electronic Health Records and Electronic Phenotypes.

Studies in health technology and informatics·2026
Same author

Current Data Collection Efforts in Neuromuscular Disease Research: A Scoping Review.

Studies in health technology and informatics·2026
Same author

Open Educational Resources on FAIR Data: Preliminary Results from a Systematic Review.

Studies in health technology and informatics·2026
Same author

Semantic Harmonization Workflow of Health Data: Application in the Post-COVID Network Netherlands.

Studies in health technology and informatics·2026

Related Experiment Video

Updated: May 19, 2026

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody
09:09

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody

Published on: September 27, 2024

Inventory of tools for Dutch clinical language processing.

Ronald Cornet1, Armand Van Eldik, Nicolette De Keizer

  • 1Dept of Medical Informatics, Academic Medical Center, Amsterdam, The Netherlands. r.cornet@amc.uva.nl

Studies in Health Technology and Informatics
|August 10, 2012
PubMed
Summary

Automated encoding of Dutch clinical text using natural language processing (NLP) is challenging due to limited tools. Further research is needed for Dutch medical NLP, focusing on specific components like spelling checkers and concept mappers.

More Related Videos

Lexical Decision Task for Studying Written Word Recognition in Adults with and without Dementia or Mild Cognitive Impairment
06:48

Lexical Decision Task for Studying Written Word Recognition in Adults with and without Dementia or Mild Cognitive Impairment

Published on: June 25, 2019

Related Experiment Videos

Last Updated: May 19, 2026

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody
09:09

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody

Published on: September 27, 2024

Lexical Decision Task for Studying Written Word Recognition in Adults with and without Dementia or Mild Cognitive Impairment
06:48

Lexical Decision Task for Studying Written Word Recognition in Adults with and without Dementia or Mild Cognitive Impairment

Published on: June 25, 2019

Area of Science:

  • Medical Informatics
  • Computational Linguistics

Background:

  • Automated encoding of clinical narratives is common but primarily English-focused.
  • Natural Language Processing (NLP) tools and terminological systems predominantly support English.

Purpose of the Study:

  • To assess the applicability of NLP tools for processing Dutch medical texts.
  • To identify components for a Dutch NLP system to encode text into SNOMED CT without translation.

Main Methods:

  • Literature study and internet search to inventory available NLP tools and frameworks.
  • Analysis of 31 papers describing components for English and Dutch free-text processing.

Main Results:

  • Most identified NLP tools are suitable for English; fewer are applicable to Dutch.
  • Existing tools and frameworks offer partial solutions for Dutch medical NLP.

Conclusions:

  • Further research is essential to develop a robust Dutch medical NLP system.
  • Key areas for development include spelling checkers, negation detection, abbreviation lists, and concept mapping for Dutch medical terms.