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ISSN 1028-4818 (Electronic)

2017, Number 6

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Mul Med 2017; 21 (6)

Employment of data mining to predict moderate to severe migraine disability

Quesada VAJ

Language: Spanish
References: 21
Page: 796-808
PDF size: 190.41 Kb.


ABSTRACT

Migraine occupies the first place as a cause of disability among neurological diseases, it is the third cause of disability in the population under 50 years old and the seventh cause of years of life lived with disability in the world. This study was made to build self-validated diagnostic algorithms that allow the prediction of moderate to severe disability due to migraine with acceptable accuracy. Data mining techniques were applied to the database with the information of the 505 patients with migraine diagnosed in the multicenter cross-sectional study of the Bayamo headache project. Seven algorithms (JRip, NNge, J48, Id3, Naive Bayes, Bayesian Logistic Regression and IBk) belonging to several paradigms of artificial intelligence were used. JRip and J48 algorithms predicted the risk of developing moderate to severe migraine disability to 93.7 % and 91.8 % of patients respectively; with an area under the ROC curve of 0.899 and 0.920. The most important factor was having had more than 20 days with headache in the last three months, followed in order of importance, the poor quality of sleep and coexisting headaches. It was concluded that the decision-making tree and the decision rules allowed us to predict the risk of developing moderate to severe disability due to migraine.


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