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A Study of Data Classification and Selection Techniques to Diagnose Headache Patients

  • Ahmed J. AljaafEmail author
  • Conor Mallucci
  • Dhiya Al-Jumeily
  • Abir Hussain
  • Mohamed Alloghani
  • Jamila Mustafina
Chapter

Abstract

Primary headache disorders are the most common complaint worldwide. The socioeconomic and personal impact of headache disorders is enormous, as it is the leading cause of workplace absenteeism. The development of diagnostic models to aid in the diagnosis of primary headaches has become an interesting research topic, particularly after the launch of the International Headache Society IHS criteria. In this chapter, we review the literature to investigate recent expert systems with respect to the diagnosis of primary headache disorders. The main aim of this chapter is to analyze the core concept of these diagnostic models to explore their advantages and drawbacks, which enable us to initialize a new pathway toward robust diagnostic model that overcomes current challenges.

Keywords

Primary headaches Intelligent diagnostic models Expert systems 

References

  1. 1.
    IHS. (2013). The international classification of headache disorders, 3rd edition (beta version). Cephalalgia, 33(9), 629–808.  https://doi.org/10.1177/0333102413485658.CrossRefGoogle Scholar
  2. 2.
    Aljaaf, A. J., et al. (2014). A study of data classification and selection techniques for medical decision support systems. In D.-S. Huang et al. (Eds.), Intelligent computing methodologies: 10th International Conference, ICIC 2014, Taiyuan, China, August 3–6, 2014. Proceedings (pp. 135–143). Cham: Springer.Google Scholar
  3. 3.
    Aljaaf, A. J., et al.. (2015). Toward an optimal use of artificial intelligence techniques within a clinical decision support system. In Proceedimgs 2015 Science and Information Conference (SAI), pp. 548–554.Google Scholar
  4. 4.
    Aljaaf, A. J., et al. (2015). A systematic comparison and evaluation of supervised machine learning classifiers using headache dataset. In D.-S. Huang & K. Han (Eds.), Advanced intelligent computing theories and applications: 11th International Conference, ICIC 2015, Fuzhou, China, August 20–23, 2015. Proceedings, Part III (pp. 101–108). Cham: Springer.CrossRefGoogle Scholar
  5. 5.
    Chen, Y. Y., et al. (2013). Rule based clinical decision support system for hematological disorder. In Proceeding. 2013 IEEE 4th International Conference on Software Engineering and Service Science, pp. 43–48.Google Scholar
  6. 6.
    Hasan, R., et al. (2012). An expert system based headache solution. In Proceedings of 2012 IEEE Symposium on Computer Applications and Industrial Electronics (ISCAIE 2012).Google Scholar
  7. 7.
    Al-Hajji, A. A. (2012). Rule-based expert system for diagnosis and symptom of neurological disorders Neurologist Expert System (NES). In Proceedings of 1st Taibah University International Conference on Computing and Information Technology, pp. 67–72.Google Scholar
  8. 8.
    Yin, Z., et al. (2013). A guideline-based decision support system for headache diagnosis (Series A guideline-based decision support system for headache diagnosis). IOS Press.Google Scholar
  9. 9.
    Dong, Z., et al. (2014). Validation of a guideline-based decision support system for the diagnosis of primary headache disorders based on ICHD-3 beta. The Journal of Headache and Pain, 15(1), 40–40.  https://doi.org/10.1186/1129-2377-15-40. CrossRefGoogle Scholar
  10. 10.
    Yin, Z., et al. (2015). A clinical decision support system for the diagnosis of probable migraine and probable tension-type headache based on case-based reasoning. The Journal of Headache and Pain, 16, 29.  https://doi.org/10.1186/s10194-015-0512-x.CrossRefGoogle Scholar
  11. 11.
    Yin, Z., et al. (2014). A clinical decision support system for primary headache disorder based on hybrid intelligent reasoning. In Proceedings of 2014 7th International Conference on Biomedical Engineering and Informatics, pp. 683–687.Google Scholar
  12. 12.
    Simić, S., et al. (2008). Computer-assisted diagnosis of primary headaches. In E. Corchado et al. (Eds.), Hybrid artificial intelligence systems: Third international workshop, HAIS 2008, Burgos, Spain, September 24–26, 2008. Proceedings (pp. 314–321). Berlin/Heidelberg: Springer.CrossRefGoogle Scholar
  13. 13.
    Simić, S., et al. (2008). Rule-based fuzzy logic system for diagnosing migraine. In Rule-based fuzzy logic system for diagnosing migraine (Series: Rule-based fuzzy logic system for diagnosing migraine). Springer-Verlag, pp. 383–388.Google Scholar
  14. 14.
    Eslami, V., et al. (2013). A computerized expert system for diagnosing primary headache based on International Classification of Headache Disorder (ICHD-II). SpringerPlus, 2, 199.  https://doi.org/10.1186/2193-1801-2-199.CrossRefGoogle Scholar
  15. 15.
    Maizels, M., & Wolfe, W. J. (2008). An expert system for headache diagnosis: The Computerized Headache Assessment Tool (CHAT). Headache: The Journal of Head and Face Pain, 48(1), 72–78.  https://doi.org/10.1111/j.1526-4610.2007.00918.x. CrossRefGoogle Scholar
  16. 16.
    Zafar, K., et al. (2013). Clinical decision support system for the diagnosis of migraine and headache. Journal of Basic and Applied Scientific Research, 3(10), 119–125.Google Scholar
  17. 17.
    Bigal, M. E., & Lipton, R. B. (2006). Headache classification. In R. B. Lipton & M. E. Bigal (Eds.), Migraine and other headache disorders, Neurological Disease and Therapy (1st ed.). Boca Raton: CRC Press.Google Scholar
  18. 18.
    SIGN. (2008). Diagnosis and management of headache in adults: A national clinical guideline. In Book: Diagnosis and management of headache in adults: A national clinical guideline (Series Diagnosis and management of headache in adults: A national clinical guideline). Edinburgh: Scottish Intercollegiate Guidelines Network.Google Scholar
  19. 19.
    BASH. (2010). Guidelines for all healthcare professionals in the diagnosis and management of migraine, tension-type, cluster and medication-overuse headache. In Book: Guidelines for all healthcare professionals in the diagnosis and management of migraine, tension-type, cluster and medication-overuse headache (Series: Guidelines for all healthcare professionals in the diagnosis and management of migraine, tension-type, cluster and medication-overuse headache).Google Scholar
  20. 20.
    Friedman, B. W., & Grosberg, B. M. (2009). Diagnosis and management of the primary headache disorders in the emergency department setting. Emergency Medicine Clinics of North America, 27(1), 71–87.  https://doi.org/10.1016/j.emc.2008.09.005.CrossRefGoogle Scholar
  21. 21.
    Katsarava, Z., et al. (2012). Defining the differences between episodic migraine and chronic migraine. Current Pain and Headache Reports, 16(1), 86–92.  https://doi.org/10.1007/s11916-011-0233-z.CrossRefGoogle Scholar
  22. 22.
    Lipton, R. B., et al. (2004). Classification of primary headaches. Neurology, 63(3), 427–435.CrossRefGoogle Scholar
  23. 23.
    Tepper, S. J., & Tepper, D. E. (2011). Diagnosis of migraine and tension-type headaches. In S. J. Tepper & D. E. Tepper (Eds.), The cleveland clinic manual of headache therapy (pp. 3–17). New York: Springer.CrossRefGoogle Scholar
  24. 24.
    Stillman, M. J. (2011). Diagnosis of trigeminal autonomic cephalalgias and other primary headache disorders. In S. J. Tepper & D. E. Tepper (Eds.), The cleveland clinic manual of headache therapy (pp. 19–36). New York: Springer.CrossRefGoogle Scholar
  25. 25.
    IASP. (2012). Trigeminal autonomic cephalalgias: Diagnosis and management. Book: Trigeminal autonomic cephalalgias: Diagnosis and management (Series: Trigeminal autonomic cephalalgias: Diagnosis and management).Google Scholar
  26. 26.
    Loder, E., & Rizzoli, P. (2008). Tension-type headache. BMJ, 336(7635), 88–92.  https://doi.org/10.1136/bmj.39412.705868.AD.CrossRefGoogle Scholar
  27. 27.
    Arendt-Nielsen, L. (2015). Headache: muscle tension, trigger points and referred pain. International Journal of Clinical Practice, 69(S182), 8–12.  https://doi.org/10.1111/ijcp.12651.CrossRefGoogle Scholar
  28. 28.
    Morgan, M., et al. (2007). Patient pressure for referral for headache: a qualitative study of GPs’ referral behaviour. The British Journal of General Practice, 57(534), 29–35.Google Scholar
  29. 29.
    Goadsby, P. J. (2004). To scan or not to scan in headache. BMJ, 329(7464), 469.CrossRefGoogle Scholar
  30. 30.
    Dodick, D. W. (2003). Clinical clues and clinical rules: Primary vs secondary headache. Advanced Studies in Medicine, 3(6C), S550–S555.Google Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Ahmed J. Aljaaf
    • 1
    • 2
    Email author
  • Conor Mallucci
    • 3
  • Dhiya Al-Jumeily
    • 1
  • Abir Hussain
    • 1
  • Mohamed Alloghani
    • 4
  • Jamila Mustafina
    • 5
  1. 1.Faculty of Engineering and TechnologyLiverpool John Moores UniversityLiverpoolUK
  2. 2.Center of Information TechnologyUniversity of AnbarRamadiIraq
  3. 3.Alder Hey Children’s NHS foundation trustLiverpoolUK
  4. 4.Abu Dhabi Health Services Company (SEHA)Abu DhabiUAE
  5. 5.Kazan Federal UniversityKazanRussia

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