Ontologies for Early Detection of the Alzheimer Disease and Other Neurodegenerative Diseases
Nowadays technologies allow an exponential generation of biomedical data, which must be indexed according to some standard criteria to be useful to the scientific and medical community, being neurology one of the areas in which the standardization is more necessary. Ontologies have been highlighted as one of the best options, with their capability of homogenise information, allowing their integration with other kind of information, and the inference of new information based on the data that is stored. We analyse and compare the approaches taken by different research groups inside the area of the Alzheimer’s disease, and the ontologies they developed with the objective of providing a common framework to standardize information, data recovery or as a part of an expert system. However, to make this approach work the ontologies must be maintained over the time, a critical point which is not been followed by any of the ontologies reviewed.
We thanks to the Ministry of Education, Youth and Sports of the Community of Madrid, and the European Social Fund for a contract to A.G.-V. B. (PEJD-2017-PRE/TIC-4406) in the program of Youth Employment and the Youth Employment Initiative (YEI) 2018.
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