The Development of the Wind Disease Recommendation System Using the Knowledge Base of Folk Medicine

Abstract

This research has studied the development of the wind disease recommendation system using the folk medicine knowledge base. The objectives of this research are: 1) To develop the knowledge base of folk medicine with herbs by using ontology to recommend a wind disease 2) To establish the rules for predicting disease, wind symptoms 3) To develop a recommendation system for herbal medicine recipes in wind disease. This research uses Protégé as a tool to generate and store ontology data, and this study covers 14 syndromes in wind illness. Moreover, this research also proposes a total of 168 rules. The ontology experts have evaluated the accuracy of the developed ontology system. The result presents that the system performance in content coverage, the suitability of the content, the classification of core knowledge or core categories, and the classification of subcategories are good levels. The performance of representation of the content, language, and grammar was at an excellent level the accuracy and suitability, and the application aspect of the content knowledge development for retrieval was at a moderate level. Overall assessment results in various fields are at good levels. With a mean of 4.14 and a standard deviation of 0.38. The evaluation of the retrieval of the system developed by local medicine experts (herbal medicine) found that Precision, Recall, including F-measure, is 1.00. Therefore, the proposed method can recommend the herbal medicine formula for wind illness, and it can use as a prototype for other symptoms.