A Rule Based Decision Support System for Aiding Vitamin D Deficiency Management.

Muthuraman Thangaraj  and Sankaran Gnanambal

doi:10.17485/ijst/2014/v7i1.8

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A Rule Based Decision Support System for Aiding Vitamin D Deficiency Management.

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Indian Journal of Science and Technology

DOI: 10.17485/ijst/2014/v7i1.8

Year: 2014, Volume: 7, Issue: 1, Pages: 48-52

Original Article

A Rule Based Decision Support System for Aiding Vitamin D Deficiency Management.

Muthuraman Thangaraj¹ and Sankaran Gnanambal^2*

¹Associate Professor, Department of Computer Science, Madurai Kamaraj University, Madurai, Tamil Nadu, India
²Research Scholar, School of Computer Science, Bharathiyar University, Coimbatore, Tamil Nadu, India.

*Author for the correspondence:
Sankaran Gnanambal
Research Scholar, School of Computer Science, Bharathiyar University
Coimbatore, Tamil Nadu, India
E-mail: [email protected]

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

The objective of this study is to diagnose vitamin D deficiency for which rule based Decision Support System (DSS) was used. This diagnosis task was achieved through neuro–fuzzy classifier. For this, we constructed an ontology related to food supplements for the management of vitamin D deficiency. The Semantic Web Rule Language (SWRL) is used to create rules corresponding to vitamin D deficiency management. Finally, Java Expert System Shell (JESS) has to be used for reasoning, which provides appropriate food items for vitamin D deficiency management.

Keywords: DSS, Vitamin D Management, Ontology, SWRL, JESS