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EHC 2022
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Poster zum Thema "Data science in research and digital medicine"
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P15
Intra- and inter-individual attack frequency variability of chronic cluster headache
Roemer Brandt (Leiden/ NL)
P152
Prospective evaluation of migraine premonitory symptoms during the 30 days period
Kirill Skorobogatykh (Moscow/ RU)
P166
Gradually shifting clinical phenomics in migraine spectrum: A Cross-sectional, Multicenter study of 5438 patients
Ye Ran (Beijing/ CN)
P167
Characterization of the spectral content of resting-state electroencephalographic activity in chronic migraine female patients
Víctor Gutiérrez-de Pablo (Valladolid/ ES)
P168
Impact of air pollution exposure on headache onset in migraine patients
Alicia Alpuente (Barcelona/ ES)
P176
Personalized Low-Glycemic Nutrition for the Prophylaxis of Migraine: Real World Data from two Prospective Studies using a Digital Therapeutic
Torsten Schroeder (Luebeck/ DE)
P177
Iprazochrome and codeine – unlikely winners in migraine treatment in Poland. Targeting areas for improvement in migraine treatment (results from
Migraine in Poland
- a nationwide cross-sectional survey)
Marta Waliszewska-Prosół (Wroclaw/ PL)
P183
Prevalence, disease profile, treatment patterns and burden of migraine in India: An internet-based survey
Debashish Chowdhury (Delhi/ IN)
P190
Prediction of a migraine crisis in real-time using a wearable device
Alicia Gonzalez-Martinez (Madrid/ ES)
P191
Utility of machine-learning based models to predict 30%, 50% and 75% response to anti-CGRP response in patients with migraine: a multicenter Spanish study
Alicia Gonzalez-Martinez (Madrid/ ES)
P192
A prospective observational real-world evidence (RWE) study to describe the impact of OTC headache treatments on headache intensity and the association of headache intensity on functional and cognitive parameters
Luminita Constantin (Gentilly/ FR)
P193
Searching for the predictors of response to BoNT-A in migraine using a machine learning approach
Daniele Martinelli (Pavia/ IT)
P194
An Exploratory Study Evaluating the Thirty Medications Most Commonly Associated with Headaches in the FDA Adverse Event Reporting System
Pengfei Zhang (New Brunswick, NJ/ US)
P195
Machine prescription for chronic migraine
Erling Tronvik (Trondheim/ NO)
P196
Implementing a digital treatment solution for headache patients – Study protocol for developing a methodology for interventional studies
Triinu Niiberg-Pikksööt (Tartu/ EE; Tallinn/ EE)
P198
@TrialMigraine: A Daily Migraine Clinical Trials Tracker
Pengfei Zhang (New Brunswick, NJ/ US; Dayton, NJ/ US)
P199
No machine learning required: a number theory diagnostic methods for primary headache disorders
Pengfei Zhang (New Brunswick, NJ/ US; Dayton, NJ/ US)
P200
Title: Health care indicators for patients with headache at the emergency department during the COVID pandemic.
Amelia Boix Moreno (Palma de Mallorca/ ES)
P201
The structure and organization of headache differential diagnoses: A Pilot Study of Subset Relationships between Differentials in ICHD3
Pengfei Zhang (New Brunswick, NJ/ US)
P202
A comprehensive list of prevention medications without drug-drug interactions can be generated from DrugBank and FAERS
Pengfei Zhang (New Brunswick, NJ/ US)
P203
Which Co-diagnoses are Possible in the ICHD3? A Number Theoretic Approach
Pengfei Zhang (New Brunswick, NJ/ US)
P204
Changes in Eeg Microstates after Alpha-Training in Boys and Girls-Adolescent with High Level of Aggression
Tetiana Kachynska (Lutsk/ UA)
P205
A Study of MeSH Terms in PubMed Headache Case Reports and Clinical Trial Abstracts
Pengfei Zhang (New Brunswick, NJ/ US; Dayton, NJ/ US)
P206
How to sequentially try all possible "pick two" combinations of abortive and/or prevention medications: an exploration in hamiltonian cycles in headache
Pengfei Zhang (New Brunswick, NJ/ US; Dayton, NJ/ US)
P80
The Regional Outreach Programme of the International Headache Society in sub-Saharian Africa: partnership with the DREAM program and results from the first survey on headache training
Daniele Martinelli (Pavia/ IT)
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