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.
Highlights
The dramatic growth of technological development in healthcare systems has to be recorded through a variety of methods[1]
The Decision Support System (DSS) is one of the methods used in healthcare systems
We present a framework for aiding vitamin D deficiency
Summary
The dramatic growth of technological development in healthcare systems has to be recorded through a variety of methods[1]. The Decision Support System (DSS) is one of the methods used in healthcare systems. DSS is an interactive application, which is developed to support physicians, and healthcare professionals for decision making[2]. It is one of the major areas in Artificial Intelligence in Medicine. It generates case-specific advice from patient data[3]. DSS uses clinician’s knowledge, and provides a better analysis of the patient’s data. DSS provides suggestions about outputs, and the physician retrieves significant information and removes incorrect suggestions[4]
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