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Knowledge Elicitation Using the Delphi Technique in Developing Diagnosis Systems Cover

Knowledge Elicitation Using the Delphi Technique in Developing Diagnosis Systems

Applied Computer Systems
Volume 29 (2024): Issue 1 (June 2024)
By: Abisola Olayiwola,  Adekunle Afolabi,  Dare Olayiwola and  Ajibola Oyedeji  
Open Access
|Aug 2024

Authors

Abisola Olayiwola

olayiwola.abisola@oouagoiwoye.edu.ng

Department of Computer Engineering, Olabisi Onabanjo University, Ago-Iwoye, Nigeria

Adekunle Afolabi

aofolabi@oau.edu.ng

Department of Computer Science and Engineering, Obafemi Awolowo University, Ile-Ife, Nigeria

Dare Olayiwola

olayiwola_dare@yahoo.com

Department of Computer Engineering, Ladoke Akintola University of Technology, Ogbomoso, Nigeria

Ajibola Oyedeji

oyedeji.ajibola@oouagoiwoye.edu.ng

Department of Computer Engineering, Olabisi Onabanjo University, Ago-Iwoye, Nigeria
DOI: https://doi.org/10.2478/acss-2024-0015 | Journal eISSN: 2255-8691 | Journal ISSN: 2255-8683
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Language: English
Page range: 117 - 123
Submitted on: Jan 29, 2024
Accepted on: Jul 25, 2024
Published on: Aug 15, 2024
Published by: Riga Technical University
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
African traditional medicine,
clinical diagnosis systems,
Delphi technique,
knowledge elicitation,
sickle cell disease
Related subjects:
Computer sciences,
Artificial intelligence,
Information technology,
Project management,
Software development

© 2024 Abisola Olayiwola, Adekunle Afolabi, Dare Olayiwola, Ajibola Oyedeji, published by Riga Technical University
This work is licensed under the Creative Commons Attribution 4.0 License.

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