Abstract
Understanding disease processes of complex neurodevelopmental diseases such as autism has been attempted for many years with relatively modest success. The mechanism of autism is still unknown, and in order to allow scientists to try and deduce new knowledge about this disease's mechanism based on patient data, it is crucial to organize and semantically integrate patient data concerning genetic and environmental risk factors as well as phenotypic manifestations. Ontologies are important knowledge representations used in information systems and artificial intelligence research, which help in such data integration tasks as a way to standardize data and knowledge related to the disease and to create a knowledge infrastructure for studying how genetic and environmental factors impact the disease development.
| Original language | English |
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| State | Published - 2013 |
| Event | Annual conference of the Israeli Association for information systems in medicine - Duration: 1 Jan 2013 → … |
Conference
| Conference | Annual conference of the Israeli Association for information systems in medicine |
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| Period | 1/01/13 → … |