[Diagnosis of cerebellum-pontine angle tumors using artificial intelligence techniques].
We are concerned in this paper with learning classification procedures from known cases. More precisely, we provide a diagnostic model that discriminate between cerebellum-pontine angle (CPA) tumors and otorhinolaryngological (ENT) disorders. Usually, in order to distinguish between CPA tumors and ENT disorders one must perform clinical-neurological examination together with expensive radiological imagery (CT and MRI). The proposed model was obtained through artificial intelligence methods and presented a good accuracy level (88.4%) when tested against new cases, considering only clinical examination without radiological imagery results.
Leitão
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Departamento de Cirurgia, Faculdade de Medicina, Universidade Federal do Ceará (UFC).
Gomes
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FC
Diógenes
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S
Leitão Filho
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D001185:Artificial Intelligence; D002528:Cerebellar Neoplasms / Q000175:diagnosis*; D002530:Cerebellopontine Angle; D003661:Decision Support Techniques; D003937:Diagnosis, Differential; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D010038:Otorhinolaryngologic Diseases / Q000175:diagnosis*