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Related Concept Videos

Anatomical Terminology01:20

Anatomical Terminology

Knowledge of anatomy is essential to understand human biology and medicine. Anatomists and health care professionals use standard terminology to describe the human body with more precision and no ambiguity. Anatomical terms have mostly Greek and Latin-derived roots. Because these languages are rarely used in conversation, the meaning of words remains the same. Each term is made up of a root in between the prefixes and suffixes. The root of a term often refers to an organ, tissue, or condition,...
Regional Terms01:12

Regional Terms

Regional terms describe anatomy by dividing the body parts into different regions that contain structures involved in contributing similar functions. Using these terms helps increase the accurate description and identification of the particular region of interest or region affected by the disease.
Primarily, the human body has two major regions, the axial and appendicular regions. The axial region comprises regions from the head to the abdomen and makes up the central body axis. In contrast,...
Combination Therapies and Personalized Medicine02:50

Combination Therapies and Personalized Medicine

Combining two or more treatment methods increases the life span of cancer patients while reducing damage to vital organs or tissue from the overuse of a single treatment. Combination therapy also targets different cancer-inducing pathways, thus reducing the chances of developing resistance to treatment.
The combination of the drug acetazolamide and sulforaphane is a good example of combination therapy to treat cancer. The cells in the interior of a large tumor often die due to the hypoxic and...
Combination Therapies and Personalized Medicine02:50

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Guidelines for Nursing Documentation I01:30

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Quality documentation and reporting share essential characteristics that ensure they are practical and valuable resources for those who use them. These characteristics are:
Factual:  
The following points emphasize the significance of upholding accurate and unbiased documentation in healthcare.
Formulating and Validating Nursing Diagnosis I01:26

Formulating and Validating Nursing Diagnosis I

A nursing diagnosis is written when the nurse recognizes a cluster of essential patient data indicating health problems treated with independent nursing interventions. The standardized terminologies of a nursing diagnosis help nurses identify and treat patients' problems. Every electronic health record that uses nursing diagnosis must employ standard diagnostic terminology. Developing an efficient, individualized care plan begins with accurate nursing diagnoses.
There are thirteen domains for...

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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

Customization of biomedical terminologies.

Julien Homo1, Laëtitia Dupuch, Allel Benbrahim

  • 1Antidot, Paris, France.

Studies in Health Technology and Informatics
|August 10, 2012
PubMed
Summary
This summary is machine-generated.

This study introduces a method to customize large biomedical terminologies using seed terms and semantic distance algorithms. The approach effectively narrows down terminologies to relevant, homogeneous concept spaces for better user experience.

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Area of Science:

  • Biomedical Informatics
  • Medical Terminology Management
  • Computational Linguistics

Background:

  • The Unified Medical Language System (UMLS) Metathesaurus contains over one million concepts from more than one hundred biomedical terminologies.
  • Managing and extracting relevant information from vast terminological resources presents a significant challenge due to the presence of irrelevant concepts.

Purpose of the Study:

  • To develop and evaluate a method for customizing large biomedical terminologies.
  • To create semantically homogeneous concept spaces within terminologies using seed terms and semantic distance algorithms.

Main Methods:

  • Exploitation of seed terms to guide terminology customization.
  • Application of semantic distance algorithms to identify and isolate relevant concepts.
  • Evaluation of the approach by a medical expert.

Main Results:

  • The proposed approach is relevant for customizing biomedical terminologies.
  • Extracted terms demonstrate high relevance to the initial seed terms.
  • Different semantic similarity algorithms yield similar results within a specific terminology, though results vary across different terminologies.

Conclusions:

  • Seed terms and semantic distance algorithms offer an effective strategy for tailoring large biomedical terminologies.
  • Careful selection of semantic similarity algorithms and thresholds is crucial for optimal terminology customization.
  • The method facilitates the creation of focused, semantically coherent terminological subsets.