LOD Cloud Mining for Prognosis Model(Case Study: Native App for Drug Recommender System)


The goal of this project is to use the Semantic Web Technologies and Data Mining for disease diagnosis to assist health care professionals regarding the possible medication and drug to prescribe (Drug recommendation) according to the features of the patient. Numerous Decision Support Systems (DSS) and Expert Systems allow medical collaboration, like in the differential diagnosis specific or general. But, a medical recommendation system using both Semantic Web technologies and Data mining has not yet been developed which initiated this work. However, it should be mentioned that there are several system references about medicine or active ingredient interactions, but their final goal is not the Drug recommendation which uses above technologies. With this project we try to provide an assistant to the doctor for better recommendations. The patient will also able to use this system for explanation of drugs, food interaction and side effects of corresponding drugs.

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Kushwaha, N. , Goyal, R. , Goel, P. , Singla, S. and Vyas, O. (2014) LOD Cloud Mining for Prognosis Model(Case Study: Native App for Drug Recommender System). Advances in Internet of Things, 4, 20-28. doi: 10.4236/ait.2014.43004.

Conflicts of Interest

The authors declare no conflicts of interest.


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