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

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...
Translation01:31

Translation

Lesson: Translation
Translation is the process of synthesizing proteins from the genetic information carried by messenger RNA (mRNA). Following transcription, it constitutes the final step in the expression of genes. This process is carried out by ribosomes, complexes of protein and specialized RNA molecules. Ribosomes, transfer RNA (tRNA), and other proteins produce a chain of amino acids—the polypeptide—as the end product of translation.
Translation Produces the Building Blocks of Life
Genomics02:02

Genomics

Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
Introduction to Language of Pathophysiology l01:25

Introduction to Language of Pathophysiology l

Pathophysiology investigates how biological mechanisms—typically starting at the cellular level—disrupt normal bodily functions. It bridges anatomy and physiology to explain the progression of disease. With this foundation, it is important to understand the following key terms used to describe disease processes: Diagnosis:The process of identifying a disease using clinical evaluation, including signs (objective evidence like rashes), symptoms (subjective experiences like pain), laboratory test...
Classification of Illness01:17

Classification of Illness

The meaning of illness is individualized to each person who experiences an alteration in health. In contrast, disease is a medical term indicating a pathological change in the structure and function of the body or mind. It is a condition that has specific symptoms and boundaries.
An illness is a response to a disease in which the person's level of functioning is changed compared with a previous level. The general classification of illness includes acute and chronic.
Acute illness is severe and...
Nonsense-mediated mRNA Decay02:27

Nonsense-mediated mRNA Decay

The Upf proteins that carry out nonsense-mediated decay (NMD) are found in all eukaryotic organisms, including humans. Each protein has an individual role, but they need to work in collaboration. Upf1 is an ATP-dependent RNA helicase that unwinds the RNA helix. Because Upf1 can unwind any RNA, Upf2 and Upf3 are required to help Upf1 discriminate between nonsense and normal mRNAs.
Usually, Upf3 binds to an Exon Junction Complex (EJC) at mRNA splice sites. If a ribosome fully translates the mRNA,...

You might also read

Related Articles

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

Sort by
Same author

Knowledge, attitude, and practice survey for patient blood management in India: An initiative by the special interest group of the Indian Society of Transfusion Medicine.

Asian journal of transfusion science·2026
Same author

Major ECG abnormalities and risk of incident cardiovascular disease in people with HIV compared to people without HIV.

AIDS (London, England)·2026
Same author

A molecular dynamics simulation investigation on the material removal mechanism in nanoscale machining of aluminium.

Journal of molecular modeling·2026
Same author

Cardiovagal Tone in Generalised Anxiety Disorder: A Case Control Study.

Cureus·2026
Same author

Pathogen-specific IgE-reactive cytosolic allergenic epitopes of Aspergillus fumigatus for immunodiagnostic/immunotherapeutic applications against allergic aspergillosis.

Annals of clinical microbiology and antimicrobials·2026
Same author

Evaluating the intrinsic adulticidal properties of a few commercial wall paints on Anopheles stephensi mosquitoes.

Journal of vector borne diseases·2025
Same journal

Digital divide in clinical and operational artificial intelligence adoption and implementation stages: US hospital diffusion patterns and AI deserts.

Journal of the American Medical Informatics Association : JAMIA·2026
Same journal

Extending the fundamental theorem of biomedical informatics: a proposal and illustrative examples.

Journal of the American Medical Informatics Association : JAMIA·2026
Same journal

Human factors methods for designing safe health information technology: what do the experts think?

Journal of the American Medical Informatics Association : JAMIA·2026
Same journal

Equity-by-design for socially assistive robots as digital health tools.

Journal of the American Medical Informatics Association : JAMIA·2026
Same journal

Orchestrator multi-agent clinical decision support system for secondary headache diagnosis in primary care.

Journal of the American Medical Informatics Association : JAMIA·2026
Same journal

CUI-Curate: a GraphRAG-based framework for automated clinical concept curation for NLP applications.

Journal of the American Medical Informatics Association : JAMIA·2026
See all related articles

Related Experiment Video

Updated: May 18, 2026

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
07:35

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

Using rule-based natural language processing to improve disease normalization in biomedical text.

Ning Kang1, Bharat Singh, Zubair Afzal

  • 1Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands.

Journal of the American Medical Informatics Association : JAMIA
|October 9, 2012
PubMed
Summary
This summary is machine-generated.

Natural language processing (NLP) significantly improves biomedical concept normalization. Adding an NLP module to dictionary-based systems like MetaMap and Peregrine enhanced disease recognition and accuracy.

Keywords:
Biomedical concept identificationDictionary-based systemNatural language processingRule-based systemText mining

More Related Videos

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
07:50

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

Related Experiment Videos

Last Updated: May 18, 2026

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
07:35

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
07:50

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

Area of Science:

  • Biomedical Informatics
  • Computational Linguistics
  • Natural Language Processing

Background:

  • Computers require concept normalization systems to extract information from unstructured biomedical text.
  • Dictionary-based systems are popular but have limitations in accuracy.
  • Natural Language Processing (NLP) offers a potential enhancement to these systems.

Purpose of the Study:

  • To investigate the utility of NLP as an adjunct to dictionary-based concept normalization systems.
  • To evaluate the performance improvement of MetaMap and Peregrine with an NLP module.

Main Methods:

  • Compared MetaMap and Peregrine performance on the Arizona Disease Corpus.
  • Assessed performance with and without a rule-based NLP module.
  • Evaluated exact and inexact boundary matching and concept identifier matching.

Main Results:

  • The NLP module improved MetaMap's F-score from 61.0% to 73.3% (exact boundary) and Peregrine's from 63.9% to 78.0%.
  • Concept identifier matching also improved with the NLP module.
  • Inexact boundary matching yielded the highest performance gains.

Conclusions:

  • NLP provides added value for disease recognition and normalization using MetaMap and Peregrine.
  • The developed NLP module is general and can be integrated with various concept normalization systems.
  • Further research is needed to assess NLP's benefit for other concept types.