Current Proceedings on Technology

Yazarlar: Ufuk Celik, Nilufer Yurtay, Yuksel Yurtay

Konular:-

Anahtar Kelimeler:Headache,Migraine,Clustering algorithms,Data mining  

Özet:   Proposing an accurate headache diagnosis for a patient can be a really difficult task considering all types of headaches. According to International Headache Classification there are 272 headache types. A computer aided diagnosis system provides great facility of achieving information and fast ways for the doctors. Headache diagnosis is a classification problem and K-means algorithm is one of the most widely used clustering methods for classification. In this study, K-Means which is one of the data mining clustering algorithms has been used in order to develop a medical diagnosis for migraine without aura and probable migraine without aura.

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