Ontology Based Optimization with Adaptive Network Based Fuzzy Inference System Based Health Maintenance System
Journal Title: International Journal of Current Research and Review - Year 2017, Vol 9, Issue 23
Abstract
In late years, economic growth and globalization have driven significant modernization of Ayurvedic Medicine in India. According to Ayurvedic Medicine, human body is divided into three constitutions/tridoshas based on the hypothesis of Prakriti. The categories of Prakriti are written based on the philosophy of tridoshas namely Vata, Pitta and Kapha. Ayurvedic clinicians’ records/documents the consultation of patient along with patient’s Prakriti in a paper. This is neither exchanged nor made accessible to other clinicians’. Due to rapid advancement in electronic media, the necessity of digital Ayurvedic patient management systems could help in diagnosing the patient before the consultation of clinicians. Henceforth, an electronic health record system is proposed that uses ontology oriented procedure to compute the physical constitutions of a human body. Specifically, a rule based system is developed and evaluated using Particle Swarm Optimization - Adaptive Network based Fuzzy Inference system (PSO-ANFIS). The ontological inputs to the fuzzy interface includes Doshas, food and lifestyle recommendations, obtained from clinical and textual data. Automated system created using ontology oriented PSO-ANFIS interface supports food, herbs, diet and life style recommendation to the patients’. The proposed model is evaluated with different patient and the sample is tested with the clinicians. The results proved that the proposed method fits with better results than the conventional ones.
Authors and Affiliations
R. Jaya Kumar
Keywords
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- EP ID EP600358
- DOI 10.7324/IJCRR.2017.9237
- Views 122
- Downloads 0
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