Science Journal of Public Health

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Design and Implementation of Herbal Therapy Knowledge Management System (HTKMS)

Received: Feb. 21, 2019    Accepted: Apr. 04, 2019    Published: May 15, 2019
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Abstract

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.

DOI 10.11648/j.sjph.20190702.13
Published in Science Journal of Public Health ( Volume 7, Issue 2, March 2019 )
Page(s) 44-52
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Case-Based Reasoning, Experts, Users, Server-Client Network, Ailments and Knowledge

References
[1] Oxford English Dictionary. (2015). English 1. 2. 2 Mobile Application, Android Version.
[2] Oladejo, O. B. and Osofisan, A. O. (2011). A conceptual framework for knowledge integration in the context of decision making progress. African Journal of Computing and ICT. Vol. 4. No. 2. Issue 2. pp. 25-32.
[3] Frank Mckenna. (2008). A knowledge management system. A Discourse. Knowledge One Corporation.
[4] Alavi, M. and Leidner, D. (2001). Knowledge management and knowledge management system: conceptual foundations and research issues. MIS Quaterly. Vol.25, pp. 107-136.
[5] Davenport, T. H. and Prusak, L. (1998). Working Knowledge: how organizations manage what they know? Boston. Mass Harvard Business School.
[6] Liebowitz and Probst. (2000). Beyond Knowledge Management. What every leader should know?
[7] Isaac, N. D. (2009). Ghanaian indigenous health practices: the use of herbs. Department of sociology and equity studies, University of Toronto. Master Thesis.
[8] Helpful herbalist (2009). A brief history of Medicine. http://www.helpfullherbalist.com/herbalmedicine.html.
[9] The Living Bible. (1976). Genesis, 1. Verse 29. Tyndale House Publishers. ISBN: 978-978-079-572-6.
[10] Appiah, J. (2006). Akan proverbs as indigenous knowing: relevance for schooling and education. Master Thesis. University of Toronto. University of Toronto website.
[11] Adefolaju Toyin. (2011). The dynamics and changing structure of traditional system in Nigeria. International Journal of Health Research. Vol 4 No. 2, pp. 99-106.
[12] Nigerian Tribune. (2008). March 28, 2008. pp. 2. In Adefolaju Toyin (2011). The dynamics and changing structure of traditional system in Nigeria. International Journal of Health Research. Vol 4. No. 2, pp 99-106.
[13] Adesina, S. K. (2011). Traditional medical care in Nigeria. Retrieved from http://www.onlinegeria.com/traditionalmedicalcarenigeria.com/2011. 15th November, 2015.
[14] Omotosho, L. O., Odejobi, O. A. and Akanbi, C. O. (2006). A framework for knowledge-based ontology model in African Traditional Medicine. African Journal of Computing and ICT. Vol. 6. No. 1. pp 43-48.
[15] Ryan Abott., M. T. O. M., J. D. and M. D. (2014). Documenting traditional medical knowledge. World Intellectual Property Organization.
[16] Zulazeze, S., Sharifalillah, N. and Haryani, H. (2012). Malaysian indigenous herbs knowledge representation. Knowledge Management International Conference. Johor Bahru, Malaysia. 4-6th July, 2012.
[17] Babajide Olanrewaju. (2013). A knowledge discovery system for news media using text mining techniques. An M.Sc Unpublished Thesis. Department of Computer Science, University of Ibadan.
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  • APA Style

    Oladejo Bola Fausat, Theodorio Adedayo Olayinka. (2019). Design and Implementation of Herbal Therapy Knowledge Management System (HTKMS). Science Journal of Public Health, 7(2), 44-52. https://doi.org/10.11648/j.sjph.20190702.13

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    ACS Style

    Oladejo Bola Fausat; Theodorio Adedayo Olayinka. Design and Implementation of Herbal Therapy Knowledge Management System (HTKMS). Sci. J. Public Health 2019, 7(2), 44-52. doi: 10.11648/j.sjph.20190702.13

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    AMA Style

    Oladejo Bola Fausat, Theodorio Adedayo Olayinka. Design and Implementation of Herbal Therapy Knowledge Management System (HTKMS). Sci J Public Health. 2019;7(2):44-52. doi: 10.11648/j.sjph.20190702.13

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  • @article{10.11648/j.sjph.20190702.13,
      author = {Oladejo Bola Fausat and Theodorio Adedayo Olayinka},
      title = {Design and Implementation of Herbal Therapy Knowledge Management System (HTKMS)},
      journal = {Science Journal of Public Health},
      volume = {7},
      number = {2},
      pages = {44-52},
      doi = {10.11648/j.sjph.20190702.13},
      url = {https://doi.org/10.11648/j.sjph.20190702.13},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.sjph.20190702.13},
      abstract = {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.},
     year = {2019}
    }
    

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  • TY  - JOUR
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    AU  - Oladejo Bola Fausat
    AU  - Theodorio Adedayo Olayinka
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    JF  - Science Journal of Public Health
    JO  - Science Journal of Public Health
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    PB  - Science Publishing Group
    SN  - 2328-7950
    UR  - https://doi.org/10.11648/j.sjph.20190702.13
    AB  - 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.
    VL  - 7
    IS  - 2
    ER  - 

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Author Information
  • Department of Computer Science, University of Ibadan, Ibadan, Nigeria

  • Departement of Computer Science, Oyo State College of Agriculture and Technology, Igboora, Nigeria

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