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Related Concept Videos

Concepts and Prototypes01:24

Concepts and Prototypes

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The human nervous system handles vast amounts of information by translating sensory stimuli into neural impulses, which the brain processes, creating thoughts expressed through language or stored as memories. The brain also synthesizes information from emotions and memories, which significantly influence thoughts and behaviors. This intricate process creates a comprehensive mental picture.
The brain organizes this information using concepts, which are mental categories grouping linguistic data,...
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Extraction: Advanced Methods00:56

Extraction: Advanced Methods

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Metal ions can be separated from one another by complexation with organic ligands–the chelating agent– to form uncharged chelates. Here, the chelating agent must contain hydrophobic groups and behave as a weak acid, losing a proton to bind with the metal. Since most organic ligands used in this process are insoluble or undergo oxidation in the aqueous phase, the chelating agent is initially added to the organic phase and extracted into the aqueous phase. The metal-ligand complex is...
941
Natural and Artificial Concepts01:24

Natural and Artificial Concepts

448
In psychology, concepts can be divided into two categories: natural and artificial. Natural concepts are formed through direct or indirect experiences. For example, consider the concept of snow. If you live in a place with regular snowfall, such as Essex Junction, Vermont, you know snow through direct experiences. You’ve seen it fall, touched it, shoveled it, and played in it. You recognize its texture, appearance, and even its smell. In contrast, if you live on an island like Saint...
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Understanding Self-Concept01:20

Understanding Self-Concept

131
The self-concept encompasses individuals' beliefs about themselves, structured through cognitive frameworks known as self-schemas. These schemas function as mental representations of specific traits or behaviors, influencing how self-relevant information is perceived, processed, and remembered. For example, individuals who are schematic for body weight are more likely to interpret routine experiences—such as dining out or shopping—through the lens of that trait. Conversely, those...
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Concepts of Health and Illness01:29

Concepts of Health and Illness

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Health is a condition of the body, mind, and spirit where an individual remains free from illness. Similarly, wellness is an active state, including living a lifestyle that promotes physical, mental, and emotional health. Physical health is critical for the overall well-being and can be affected by lifestyle, activity level, diet, and behavior. The highest attainable standard of health is a fundamental and universal human right. Consider Lisa, a fifteen-year-old born with congenital...
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Drug Elimination: The Concept of Clearance01:06

Drug Elimination: The Concept of Clearance

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Drug elimination refers to removing drugs from the body, either through urine by the kidneys or through bile by the liver. Drug clearance is a pharmacokinetic parameter that measures the efficiency of drug removal from the bloodstream within a specific time frame. It is calculated as the rate at which a drug is eliminated from plasma divided by the plasma concentration of the drug.
Drug clearance is not limited to renal excretion but encompasses all organs involved in drug elimination,...
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Updated: Dec 12, 2025

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
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Clinical concept extraction: A methodology review.

Sunyang Fu1, David Chen2, Huan He2

  • 1Department of Health Sciences Research, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, United States; University of Minnesota - Twin Cities, Minneapolis, MN 55455, United States.

Journal of Biomedical Informatics
|August 10, 2020
PubMed
Summary
This summary is machine-generated.

This review details methods for clinical concept extraction, a natural language processing technique used to identify key information in clinical text for applications like decision support. It catalogs development processes, tools, and considerations for building these systems.

Keywords:
Concept extractionDeep learningElectronic health recordsInformation extractionMachine learningNatural language processing

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Area of Science:

  • Natural Language Processing (NLP)
  • Clinical Informatics

Background:

  • Concept extraction, a subfield of NLP, is crucial for extracting clinical information from text.
  • Applications include clinical decision support and care quality improvement.

Purpose of the Study:

  • To review methodologies for clinical concept extraction.
  • To catalog development processes, methods, tools, and considerations for clinical concept extraction applications.

Main Methods:

  • Systematic literature review following PRISMA guidelines.
  • Searched Ovid MEDLINE, EMBASE, Scopus, Web of Science, and ACM Digital Library for articles published January 2009 - June 2019.
  • Included English-language articles focused on EHR-based information extraction.

Main Results:

  • Retrieved 6,686 publications, with 228 selected after screening.
  • The review discusses methods for developing clinical concept extraction applications.

Conclusions:

  • Provides a comprehensive overview of clinical concept extraction methodologies.
  • Offers insights into developing and implementing clinical concept extraction tools.