Literature DB >> 14622884

Towards a formalization of disease-specific ontologies for neuroinformatics.

Amarnath Gupta1, Bertram Ludäscher, Jeffrey S Grethe, Maryann E Martone.   

Abstract

We present issues arising when trying to formalize disease maps, i.e. ontologies to represent the terminological relationships among concepts necessary to construct a knowledge-base of neurological disorders. These disease maps are being created in the context of a large-scale data mediation system being created for the Biomedical Informatics Research Network (BIRN). The BIRN is a multi-university consortium collaborating to establish a large-scale data and computational grid around neuroimaging data, collected across multiple scales. Test bed projects within BIRN involve both animal and human studies of Alzheimer's disease, Parkinson's disease and schizophrenia. Incorporating both the static 'terminological' relationships and dynamic processes, disease maps are being created to encapsulate a comprehensive theory of a disease. Terms within the disease map can also be connected to the relevant terms within other ontologies (e.g. the Unified Medical Language System), in order to allow the disease map management system to derive relationships between a larger set of terms than what is contained within the disease map itself. In this paper, we use the basic structure of a disease map we are developing for Parkinson's disease to illustrate our initial formalization for disease maps.

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Year:  2003        PMID: 14622884     DOI: 10.1016/j.neunet.2003.07.008

Source DB:  PubMed          Journal:  Neural Netw        ISSN: 0893-6080


  6 in total

1.  A neuroinformatics of brain modeling and its implementation in the Brain Operation Database BODB.

Authors:  Michael A Arbib; Anon Plangprasopchok; James Bonaiuto; Robert E Schuler
Journal:  Neuroinformatics       Date:  2014-01

2.  Tools for knowledge acquisition within the NeuroScholar system and their application to anatomical tract-tracing data.

Authors:  Gully A P C Burns; Wei-Cheng Cheng
Journal:  J Biomed Discov Collab       Date:  2006-08-08

3.  Autism post-mortem neuroinformatic resource: the autism tissue program (ATP) informatics portal.

Authors:  Michael B Brimacombe; Richard Pickett; Jane Pickett
Journal:  J Autism Dev Disord       Date:  2007-03

Review 4.  State of the field: An informatics-based systematic review of the SOD1-G93A amyotrophic lateral sclerosis transgenic mouse model.

Authors:  Renaid B Kim; Cameron W Irvin; Keval R Tilva; Cassie S Mitchell
Journal:  Amyotroph Lateral Scler Frontotemporal Degener       Date:  2015-05-22       Impact factor: 4.092

5.  An improved ontological representation of dendritic cells as a paradigm for all cell types.

Authors:  Anna Maria Masci; Cecilia N Arighi; Alexander D Diehl; Anne E Lieberman; Chris Mungall; Richard H Scheuermann; Barry Smith; Lindsay G Cowell
Journal:  BMC Bioinformatics       Date:  2009-02-25       Impact factor: 3.169

6.  A knowledge based approach to matching human neurodegenerative disease and animal models.

Authors:  Sarah M Maynard; Christopher J Mungall; Suzanna E Lewis; Fahim T Imam; Maryann E Martone
Journal:  Front Neuroinform       Date:  2013-05-14       Impact factor: 4.081

  6 in total

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