Ontology Based Support For Human Disease Study

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Ontology-Based Support for Human Disease Study Request PDF

    https://www.researchgate.net/publication/224755595_Ontology-Based_Support_for_Human_Disease_Study
    The Ontology-based Support for Human Disease Study pa- per [21] is providing a solution which incorporates a prototype for a Generic Human Disease Ontology …

Ontology-based Multi-agent Systems Support Human Disease ...

    https://www.researchgate.net/publication/221436250_Ontology-based_Multi-agent_Systems_Support_Human_Disease_Study_and_Control
    Maja Hadzic et al., [10] introduced Ontology based multi-agent system to support human disease study and control. A new ontology called generic human disease ontology (GHDO) was designed to ...

Ontology-based support for human disease study

    https://espace.curtin.edu.au/handle/20.500.11937/41098
    The Generic Human Disease Ontology aims to support also the study of complex disorders caused by many different factors simultaneously e.g. the case of manic depressive disorders. We illustrate how this Generic Human Disease Ontology helps to produce Generic Human Disease Ontology on request, as support tool for physicians and medical researchers.Cited by: 30

Electronic health records and disease registries to ...

    https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4419761/
    Apr 07, 2014 · Introduction. Disease registries derived from Electronic Health Records (EHR) are widely used for chronic disease management (CDM). However, not enough is known about the quality of EHR-based registers in the UK (1, 2) and Australia ().There are publications about large administrative or population health databases, but little about disease registries created from multiple EHRs.Cited by: 1

CiteSeerX — Ontology-based Support for Human Disease Study

    http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.111.3212
    CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): ©2005 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be ...

Linking Human Diseases to Animal Models Using Ontology ...

    https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2774506/
    Nov 24, 2009 · Scientists and clinicians who study genetic alterations and disease have traditionally described phenotypes in natural language. The considerable variation in these free-text descriptions has posed a hindrance to the important task of identifying candidate genes and models for human diseases and indicates the need for a computationally tractable method to mine data resources for mutant …Cited by: 256

Ontology Based Disease Information System - ScienceDirect

    https://www.sciencedirect.com/science/article/pii/S1877705812022886
    Maja Hadzic and Elizabeth Chang, “Ontology-based Multi-agent System support Human Disease Study and Control. Frontiers in Artificial Intelligence and Applications (special issues on Self-organization and Autonomic Informatics)”, pp 129-141, IOS Press, 2005.Cited by: 7

Ontology based support for brain tumour study

    https://www.slideshare.net/SubhashisDas2/seminer-edit
    Nov 15, 2012 · Ontology based support for brain tumour study ... Conclusions and future work A computer-base brain tumour ontology support the works of researcher in gathering information on brain tumour research and allows user across the world to intelligently access new scientific information much more quickly. Shared knowledge improves research efficiency ...

Ontology-based Multi-agent Systems Support Human Disease ...

    http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.85.7798
    @MISC{Elizabeth_ontology-basedmulti-agent, author = {Maja Hadzic Elizabeth}, title = {Ontology-based Multi-agent Systems Support Human Disease Study and Control}, year = {}} Share. OpenURL . Abstract. Abstract. The medical milieu is an open environment characterized by a variety of distributed, heterogeneous and autonomous information resources.

An ontology-driven clinical decision support system (IDDAP ...

    https://www.sciencedirect.com/science/article/pii/S0933365717302348
    Methods and results. This study describes the construction and optimization of the sensitivity and specificity of a decision support system named IDDAP, which is based on ontologies for infectious disease diagnosis and antibiotic therapy.Cited by: 11



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