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

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Applications of Big Data Analytics

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.

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Correspondence to Ahmed J. Aljaaf .

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Aljaaf, A.J., Mallucci, C., Al-Jumeily, D., Hussain, A., Alloghani, M., Mustafina, J. (2018). A Study of Data Classification and Selection Techniques to Diagnose Headache Patients. In: Alani, M., Tawfik, H., Saeed, M., Anya, O. (eds) Applications of Big Data Analytics. Springer, Cham. https://doi.org/10.1007/978-3-319-76472-6_6

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  • DOI: https://doi.org/10.1007/978-3-319-76472-6_6

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  • Print ISBN: 978-3-319-76471-9

  • Online ISBN: 978-3-319-76472-6

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