Volume 7, Issue 2, March 2019, Page: 44-52
Design and Implementation of Herbal Therapy Knowledge Management System (HTKMS)
Oladejo Bola Fausat, Department of Computer Science, University of Ibadan, Ibadan, Nigeria
Theodorio Adedayo Olayinka, Departement of Computer Science, Oyo State College of Agriculture and Technology, Igboora, Nigeria
Received: Feb. 21, 2019;       Accepted: Apr. 4, 2019;       Published: May 15, 2019
DOI: 10.11648/j.sjph.20190702.13      View  55      Downloads  13
The recent influx of herbal mixtures in Nigeria today is gradually becoming alarming. It remains a major concern in the society especially if the right approach is used. Experts believe that the knowledge on herbal therapy is usually obtained from an implicit knowledge of an expert which is transcribed to document-based for reusable purposes. Nowadays, lack of a collaborative herbal therapy system and a massive introduction of different kinds of herbal mixtures in the market today remain a concern for deliberation. This study was designed as a result of lack of communicable herbal therapy platform in Nigeria and secondly, self-imposed solutions to health challenges. The concept of collaborative, user-friendly problem solving software was designed for the study, a package named Herbal Therapy Knowledge Management System (HTKMS). In this study, herbal experts provide expert analysis and solutions to ailments (problems) using the formidable approach of Case-Based Reasoning Model. Case forms, questionnaire and interview were used to gather information from herbal experts and users. Knowledge on Ailments causes and solutions gathered were represented using Entity Relationship Diagram. Case-Based Reasoning technique was adopted for information retrieval from herbal corporate memory (Case Forms) while cases not found were redirected to a collaborative forum for further discussion by herbal experts. Communication among the users (patients) and herbal experts were based on the principles of server-client network. The system was coded using PHP, HTML and CSS. The results of quantitative analysis of the questionnaire developed for the study showed that herbal experts strongly agreed that they diagnose patients manually (Mean Score: 1.90; Std Dev: 0.657), that they proffer solutions from personal experience and presumption (Mean Score 2.90; Std Dev: 0.852), they strongly agreed that they often do not seek for information from practicing colleagues or from a media (Mean Score: 1.85; Std Dev: 0.671) and lastly, they depended naturally on roots, stems, leaves and shrubs for herbal solutions as contained in their “account book” (Mean Score: 1.85; Std Dev: 0.745). Conclusively, the study was able to produce collaborative and reusable software which focused majorly on producing a more organized and reusable herbal knowledge for users.
Case-Based Reasoning, Experts, Users, Server-Client Network, Ailments and Knowledge
To cite this article
Oladejo Bola Fausat, Theodorio Adedayo Olayinka, Design and Implementation of Herbal Therapy Knowledge Management System (HTKMS), Science Journal of Public Health. Vol. 7, No. 2, 2019, pp. 44-52. doi: 10.11648/j.sjph.20190702.13
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