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

Nidhi Kushwaha; Raman Goyal; Pramiti Goel; Sidharth Singla; Om Prakash Vyas

doi:10.4236/ait.2014.43004

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Advances in Internet of Things > Vol.4 No.3, July 2014

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

Nidhi Kushwaha, Raman Goyal, Pramiti Goel, Sidharth Singla, Om Prakash Vyas

Department of Information Technology, Indian Institute of Information Technology (IIIT-A), Allahabad, India.

DOI: 10.4236/ait.2014.43004 PDF HTML XML 3,883 Downloads 5,351 Views Citations

Abstract

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.

Keywords

Linked Life Drug Data Cloud, Recommender System, Data Mining, Semantic Web

Share and Cite:

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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