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

Oladejo Bola Fausat; Theodorio Adedayo Olayinka

doi:doi:10.11648/j.sjph.20190702.13

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

Oladejo Bola Fausat, Theodorio Adedayo Olayinka

Published in Science Journal of Public Health (Volume 7, Issue 2)

Received: 21 February 2019 Accepted: 4 April 2019 Published: 15 May 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.

Published in	Science Journal of Public Health (Volume 7, Issue 2)
DOI	10.11648/j.sjph.20190702.13
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), 2019. Published by Science Publishing Group

Keywords

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

References

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[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.
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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://article.sciencepublishinggroup.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
T1  - Design and Implementation of Herbal Therapy Knowledge Management System (HTKMS)
AU  - Oladejo Bola Fausat
AU  - Theodorio Adedayo Olayinka
Y1  - 2019/05/15
PY  - 2019
N1  - https://doi.org/10.11648/j.sjph.20190702.13
DO  - 10.11648/j.sjph.20190702.13
T2  - Science Journal of Public Health
JF  - Science Journal of Public Health
JO  - Science Journal of Public Health
SP  - 44
EP  - 52
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

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

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Plain Text BibTeX RIS

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://article.sciencepublishinggroup.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}
}

Copy | Download

TY  - JOUR
T1  - Design and Implementation of Herbal Therapy Knowledge Management System (HTKMS)
AU  - Oladejo Bola Fausat
AU  - Theodorio Adedayo Olayinka
Y1  - 2019/05/15
PY  - 2019
N1  - https://doi.org/10.11648/j.sjph.20190702.13
DO  - 10.11648/j.sjph.20190702.13
T2  - Science Journal of Public Health
JF  - Science Journal of Public Health
JO  - Science Journal of Public Health
SP  - 44
EP  - 52
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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