Prediction of children diseases using semantics

The paper introduce, explains and presents the results obtained with the children prediction tool available through the specialized social network www.emama.mk. The inspiration behind the development of this system is to extend knowledge about the children diseases and their symptoms in a very simple and understandable way. The whole research presents summary of half decade successful work in which is presented the whole system that was designed, with the purpose to help first time mothers that live mostly in rural areas to get first initial help about the illness of their children. The results obtained with the proposed prediction method were compared with three online available prediction tools and pediatrician. We get that our results are more close to the pediatrician's due to the fact that all the data available in the ontology are very carefully selected and consulted with a medical specialist for children disease.