ArticleThe journal of headache and pain2020
Validation of an algorithm for automated classification of migraine and tension-type headache attacks in an electronic headache diary.
Article in The journal of headache and pain, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed, 44 citations in OpenAlex.
- Engagement and predictors of use of a smartphone app for migraine self-management: A secondary analysis of the EMMA trial.Headache · 2026Trial
- A Prescribed Digital Health App and Number of Migraine Days: A Randomized Clinical Trial.JAMA network open · 2025Trial
- Diagnostic accuracy of an artificial intelligence online engine in migraine: A multi-center study.Headache · 2022Trial
- Hallmarks of primary headache: part 2- Tension-type headache.The journal of headache and pain · 2025Review
- Mobile App-Based Interactive Care Plan for Migraine: Survey Study of Usability and Improvement Opportunities.JMIR formative research · 2025Article
- Influence of next-generation artificial intelligence on headache research, diagnosis and treatment: the junior editorial board members' vision - part 1.The journal of headache and pain · 2024Review
- Preliminary External Validation Results of the Artificial Intelligence-Based Headache Diagnostic Model: A Multicenter Prospective Observational Study.Life (Basel, Switzerland) · 2024Article
- Association Between Electronic Diary-Rated Sleep, Mood, Energy, and Stress With Incident Headache in a Community-Based Sample.Neurology · 2024Observational
- Validation of a Digital Headache Calendar at a Tertiary Referral Center.Diagnostics (Basel, Switzerland) · 2023Article
- Feasibility and Usability of a Mobile App-Based Interactive Care Plan for Migraine in a Community Neurology Practice: Development and Pilot Implementation Study.JMIR formative research · 2023Article
- The Structure and Organizations of ICHD-3 Differential Diagnoses through DiffNet: A Pilot Study.Diagnostics (Basel, Switzerland) · 2022Article
- Screening for Medication Overuse Headache Can Reduce Patients' Suffering From Chronic Daily Headache: A Case Report.Cureus · 2022Article
- Development and validation of a web-based headache diagnosis questionnaire.Scientific reports · 2022Article
- mBrain: towards the continuous follow-up and headache classification of primary headache disorder patients.BMC medical informatics and decision making · 2022Observational
- Study Design and Protocol of a Randomized Controlled Trial of the Efficacy of a Smartphone-Based Therapy of Migraine (SMARTGEM).Frontiers in neurology · 2022Article
- Article
- Computerized migraine diagnostic tools: a systematic review.Therapeutic advances in chronic disease · 2022Article
- E-diary use in clinical headache practice: A prospective observational study.Cephalalgia : an international journal of headache · 2021Observational
- Determining the Evolution of Headache Among Regular Users of a Daily Electronic Diary via a Smartphone App: Observational Study.JMIR mHealth and uHealth · 2021Observational
- Primary headaches during the COVID-19 lockdown in Germany: analysis of data from 2325 patients using an electronic headache diary.The journal of headache and pain · 2021Article
Corrections and comments
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Authors and funding
4 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThis 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.
methodsOne 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.
resultThe 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 insufficient information for classification by the neurologist.
conclusionsThe substantial level of agreement indicates that the classification tool is a valuable instrument for automated evaluation of electronic headache diaries, which can thereby support the diagnostic and therapeutic clinical processes. Based on this study's results, additional diagnostic functionalities of primary headache management apps can be implemented. Finally, future research can use this classification algorithm for large scale database analysis for epidemiological studies.
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