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Related Concept Videos

Schemata01:17

Schemata

A schema is a mental construct that organizes related concepts, allowing the brain to process information efficiently. Upon activation, schemata facilitate assumptions about people or objects.
Two types of schemata are:
Concepts and Prototypes01:24

Concepts and Prototypes

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,...
Ligand Binding and Linkage00:49

Ligand Binding and Linkage

Allosteric proteins have more than one ligand binding site; the binding of a ligand to any of these sites influences the binding of ligands to the other sites. When a protein is allosteric, its binding sites are called coupled or linked.  In the case of enzymes, the site that binds to the substrate is known as the active site and the other site is known as the regulatory site. When a ligand binds to the regulatory site, this leads to conformational changes in the protein that can influence the...
Ligand Binding and Linkage00:49

Ligand Binding and Linkage

Allosteric proteins have more than one ligand binding site; the binding of a ligand to any of these sites influences the binding of ligands to the other sites. When a protein is allosteric, its binding sites are called coupled or linked.  In the case of enzymes, the site that binds to the substrate is known as the active site and the other site is known as the regulatory site. When a ligand binds to the regulatory site, this leads to conformational changes in the protein that can influence the...
Schemas01:42

Schemas

A schema is a mental construct consisting of a cluster or collection of related concepts (Bartlett, 1932). There are many different types of schemata, and they all have one thing in common: schemata are a method of organizing information that allows the brain to work more efficiently. When a schema is activated, the brain makes immediate assumptions about the person or object being observed.
Modeling and Similitude01:12

Modeling and Similitude

Scaled modeling is a fundamental technique in engineering, enabling the study of large and complex systems by creating smaller, manageable replicas that recreate critical characteristics of the original. In hydrology and civil infrastructure, for example, scaled models of dams help analyze water flow, turbulence, and pressure. This method allows for accurate predictions of real-world behavior within a controlled environment, significantly reducing the cost and time involved in full-scale...

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Related Experiment Videos

LinkEHR-Ed: a multi-reference model archetype editor based on formal semantics.

José A Maldonado1, David Moner, Diego Boscá

  • 1Grupo de Informática Biomédica, Instituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas, Universidad Politécnica de Valencia, Valencia, Spain. jamaldo@upv.es

International Journal of Medical Informatics
|April 24, 2009
PubMed
Summary
This summary is machine-generated.

A new archetype editing framework, LinkEHR-Ed, was developed to standardize legacy data using multiple reference models. This tool enables semantic validation and automatic data transformation script generation for improved data management.

Related Experiment Videos

Area of Science:

  • Computer Science
  • Health Informatics
  • Data Management

Background:

  • Legacy data presents challenges in semantic description and standardization.
  • Existing archetype editing tools may lack support for multiple reference models.
  • Clear specification of archetype semantics is crucial for enhanced tooling.

Purpose of the Study:

  • To develop a robust archetype editing framework.
  • To support multiple reference models for semantic description and standardization.
  • To facilitate the management of legacy data.

Main Methods:

  • Formalization of archetype definition sections using types over tree-structured data.
  • Development of a visual archetype editor (LinkEHR-Ed).
  • Implementation of capabilities for specialization, reference model relationships, and data instance conformance.

Main Results:

  • LinkEHR-Ed, a visual archetype editor, was successfully developed.
  • The editor supports multiple reference models and advanced processing.
  • Features include semantic validation, data source mapping, and automatic script generation.

Conclusions:

  • LinkEHR-Ed is a valuable tool for archetype creation, processing, and validation.
  • The framework is adaptable to any reference model.
  • Facilitates semantic description and standardization of health data.