Knowledge Elicitation Using the Delphi Technique in Developing Diagnosis Systems

[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/ Search in Google Scholar

[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 Search in Google Scholar

[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. Search in Google Scholar

[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 Search in Google Scholar

[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 Search in Google Scholar

[6] World Health Organisation, “Sickle-cell anaemia,” 2006. [Online]. Available: https://apps.who.int/gb/archive/pdf_files/wha59/a59_9-en.pdf Search in Google Scholar

[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 Search in Google Scholar

[8] A. Sofowora, Medicinal Plants and Traditional Medicine in Africa. Ibadan: Spectrum Books Limited., 2008. Search in Google Scholar

[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 Search in Google Scholar

[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 Search in Google Scholar

[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 Search in Google Scholar

[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 Search in Google Scholar

[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 Search in Google Scholar

[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 Search in Google Scholar

[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 Search in Google Scholar

[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 Search in Google Scholar

[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 Search in Google Scholar

[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 Search in Google Scholar

[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 Search in Google Scholar

[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 Search in Google Scholar

[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 Search in Google Scholar