Validation of an algorithm for automated classification of migraine and tension-type headache attacks in an electronic headache diary

The Journal of Headache and Pain
Aaron RoeschTobias Kurth

Abstract

This study evaluates the accuracy of an automated classification tool of single attacks of the two major primary headache disorders migraine and tension-type headache used in an electronic headache diary. One hundred two randomly selected reported headache attacks from an electronic headache-diary of patients using the medical app M-sense were classified by both a neurologist with specialisation in headache medicine and an algorithm, constructed based on the ICHD-3 criteria for migraine and tension-type headache. The level of agreement between the headache specialist and the algorithm was compared by using a kappa statistic. Cases of disagreement were analysed in a disagreement validity assessment. The neurologist and the algorithm classified migraines with aura (MA), migraines without aura (MO), tension-type headaches (TTH) and non-migraine or non-TTH events. Of the 102 headache reports, 86 cases were fully agreed on, and 16 cases not, making the level of agreement unweighted kappa 0.74 and representing a substantial level of agreement. Most cases of disagreement (12 out of 16) were due to inadvertent mistakes of the neurologist identified in the disagreement validity assessment. The second most common reason (3 out of 16) was...Continue Reading

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Citations

Oct 3, 2020·Der Schmerz·L NeebT Dresler
May 4, 2021·Cephalalgia : an International Journal of Headache·Daphne S van CasterenGisela M Terwindt

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Software Mentioned

AIDA
Computerized Headache Assessment Tool ( CHAT )
sense

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