Have a personal or library account? Click to login

Knowledge Elicitation Using the Delphi Technique in Developing Diagnosis Systems

Open Access
|Aug 2024

References

  1. A. O. Oyedeji, M. O. Osifeko, O. Folorunsho, O. R. Abolade, and O. O. Ade-Ikuesan, “Design and implementation of a medical diagnostic expert system,” J. Eng. Sci., vol. 10, no. 2, pp. 103–109, 2019. [Online]. Available: https://www2.kuet.ac.bd/JES/
  2. D. Nevo and Y. E. Chan, “A Delphi study of knowledge management systems: Scope and requirements,” Inf. Manag., vol. 44, no. 6, pp. 583– 597, Sep. 2007. https://doi.org/10.1016/j.im.2007.06.001
  3. C. Hsu and B. Sandford, “The Delphi technique: Making sense of consensus,” Pract. Assessment, Res. Eval., vol. 12, no. 10, pp. 1–8, Jan. 2007.
  4. K. A. Oshikoya, I. O. Senbanjo, O. F. Njokanma, and A. Soipe, “Use of complementary and alternative medicines for children with chronic health conditions in Lagos, Nigeria,” BMC Complement. Altern. Med., vol. 8, Dec. 2008, Art. no. 66. https://doi.org/10.1186/1472-6882-8-66
  5. T. A. Ampitan, “Ethnobotanical survey of medicinal plants in Biu local government area of Borno state, Nigeria,” Compr. J. Herbs Med. Plants, vol. 2, no. 1, pp. 7–11, 2013. [Online]. Available: http://www.knowledgebasepublishers.org/maincjhmp.html
  6. World Health Organisation, “Sickle-cell anaemia,” 2006. [Online]. Available: https://apps.who.int/gb/archive/pdf_files/wha59/a59_9-en.pdf
  7. A. Oyekunle, A. Soriyan, and J. M. Agbedahunsi, “Evaluation of the knowledge of herb sellers in the diagnosis of sickle cell disease in Osun and Oyo states, Southwestern Nigeria,” Nigerian Journal of Natural Products and Medicine, vol. 19, pp. 51–55, Aug. 2015. https://doi.org/10.4314/njnpm.v19i0.3
  8. A. Sofowora, Medicinal Plants and Traditional Medicine in Africa. Ibadan: Spectrum Books Limited., 2008.
  9. J. Sastre et al., “Consensus on the clinical approach to moderate-to-severe atopic dermatitis in Spain: A Delphi survey,” Dermatol. Res. Pract., vol. 2020, Apr. 2020. https://doi.org/10.1155/2020/1524293
  10. S. Harding, M. Chauhan-Sims, E. Oxley, and H. M. Nash, “A Delphi study exploring the barriers to dyslexia diagnosis and support: A parent’s perspective,” Dyslexia, vol. 29, no. 3, pp. 162–178, Aug. 2023. https://doi.org/10.1002/dys.1743
  11. D. Engelman, L. C. Fuller, and A. C. Steer, “Consensus criteria for the diagnosis of scabies: A Delphi study of international experts,” PLoS Negl. Trop. Dis., vol. 12, no. 5, May 2018. https://doi.org/10.1371/journal.pntd.0006549
  12. A. Antonini et al., “Developing consensus among movement disorder specialists on clinical indicators for identification and management of advanced Parkinson’s disease: a multi-country Delphi-panel approach,” Curr. Med. Res. Opin., vol. 34, no. 12, pp. 2063–2073, Aug. 2018. https://doi.org/10.1080/03007995.2018.1502165
  13. M. R. Luquin, J. Kulisevsky, P. Martinez-Martin, P. Mir, and E. S. Tolosa, “Consensus on the definition of advanced Parkinson’s disease: A neurologists-based Delphi study (CEPA study),” Parkinsons Dis., vol. 2017, Jan. 2017. https://doi.org/10.1155/2017/4047392
  14. B. J. W. Evans, P. M. Allen, and A. J. Wilkins, “A Delphi study to develop practical diagnostic guidelines for visual stress (pattern-related visual stress),” J. Optom., vol. 10, no. 3, pp. 161–168, Jul.–Sep. 2017. https://doi.org/10.1016/j.optom.2016.08.002
  15. R. L. H. Handels et al., “Optimizing the use of expert panel reference diagnoses in diagnostic studies of multidimensional syndromes,” BMC Neurol., vol. 14, no. 1, Oct. 2014, Art. no. 190. https://doi.org/10.1186/s12883-014-0190-3
  16. F. Lyu et al., “Establishment of a clinician-led guideline on the diagnosis and treatment of Hirayama disease using a modified Delphi technique,” Clin. Neurophysiol., vol. 131, no. 6, pp. 1311–1319, Jun. 2020. https://doi.org/10.1016/j.clinph.2020.02.022
  17. R. G. Mather, H. Hopkins, C. M. Parry, and S. Dittrich, “Redefining typhoid diagnosis: what would an improved test need to look like?” BMJ Glob. Heal., vol. 4, no. 5, 2019. https://doi.org/10.1136/bmjgh-2019-001831
  18. F. Eibensteiner et al., “Rapid response in the COVID-19 pandemic: a Delphi study from the European pediatric dialysis working group,” Pediatr. Nephrol., vol. 35, no. 9, pp. 1669–1678, May 2020. https://doi.org/10.1007/s00467-020-04584-6
  19. A. Cases Amenós et al., “Delphi consensus on the diagnosis and management of dyslipidaemia in chronic kidney disease patients: A post hoc analysis of the DIANA study,” Nefrol. (English Ed.), vol. 36, no. 6, pp. 679–686, Nov.–Dec. 2016. https://doi.org/10.1016/j.nefroe.2017.01.007
  20. T. L. Aloi, G. Camporese, M. Izzo, D. Kontothanassis, and A. Santoliquido, “Refining diagnosis and management of chronic venous disease: Outcomes of a modified Delphi consensus process,” Eur. J. Intern. Med., vol. 65, pp. 78–85, Mar. 2019. https://doi.org/10.1016/j.ejim.2019.03.005
  21. J. Sim and C. C. Wright, “The kappa statistic in reliability studies: Use, interpretation, and sample size requirements,” Phys. Ther., vol. 85, no. 3, pp. 257–268, Mar. 2005. https://doi.org/10.1093/ptj/85.3.257
DOI: https://doi.org/10.2478/acss-2024-0015 | Journal eISSN: 2255-8691 | Journal ISSN: 2255-8683
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 times per year

© 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.