Fahim Faisal
Om
Conducting innovative research on the opportunities of ML solutions in health care and health science.
Publikasjoner
2026
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Danelakis, Antonios;
Abildsnes, Håkon Kvisle;
Faisal, Fahim;
Bjørk, Marte-Helene;
Giles, Dominic;
Hagen, Knut;
Kumelj, Tjasa;
Matharu, Manjit;
Nachev, Parashkev;
Tronvik, Erling Andreas.
(2026)
Machine Diagnostics and Machine Phenotyping of Migraine A HUNT Study.
Neurology
Vitenskapelig artikkel
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Faisal, Fahim;
Poole, Amalie Christine;
Danelakis, Antonios;
Wergeland, Tore;
Bjørk, Marte-Helene;
Khanevski, Andrej;
Kristoffersen, Espen Saxhaug;
Kumelj, Tjasa;
Larsen, Iben Cornelia Keim;
Lunder, Oda Vardenær.
(2026)
Forecasting migraine with time-series machine learning from mobile health data.
The Journal of Headache and Pain
Vitenskapelig artikkel
2025
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Faisal, Fahim;
Danelakis, Antonios;
Bjørk, Marte-Helene;
Winsvold, Bendik Kristoffer Slagsvold;
Matharu, Manjit;
Nachev, Parashkev;
Hagen, Knut;
Tronvik, Erling Andreas;
Stubberud, Anker.
(2025)
Prediction of new-onset migraine using clinical-genotypic data from the HUNT Study: a machine learning analysis.
The Journal of Headache and Pain
Vitenskapelig artikkel
Tidsskriftspublikasjoner
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Danelakis, Antonios;
Abildsnes, Håkon Kvisle;
Faisal, Fahim;
Bjørk, Marte-Helene;
Giles, Dominic;
Hagen, Knut;
Kumelj, Tjasa;
Matharu, Manjit;
Nachev, Parashkev;
Tronvik, Erling Andreas.
(2026)
Machine Diagnostics and Machine Phenotyping of Migraine A HUNT Study.
Neurology
Vitenskapelig artikkel
-
Faisal, Fahim;
Poole, Amalie Christine;
Danelakis, Antonios;
Wergeland, Tore;
Bjørk, Marte-Helene;
Khanevski, Andrej;
Kristoffersen, Espen Saxhaug;
Kumelj, Tjasa;
Larsen, Iben Cornelia Keim;
Lunder, Oda Vardenær.
(2026)
Forecasting migraine with time-series machine learning from mobile health data.
The Journal of Headache and Pain
Vitenskapelig artikkel
-
Faisal, Fahim;
Danelakis, Antonios;
Bjørk, Marte-Helene;
Winsvold, Bendik Kristoffer Slagsvold;
Matharu, Manjit;
Nachev, Parashkev;
Hagen, Knut;
Tronvik, Erling Andreas;
Stubberud, Anker.
(2025)
Prediction of new-onset migraine using clinical-genotypic data from the HUNT Study: a machine learning analysis.
The Journal of Headache and Pain
Vitenskapelig artikkel
Formidling
2025
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KonferanseposterFaisal, Fahim; Poole, Amalie Christine; Danelakis, Antonios; Wergeland, Tore; Bjørk, Marte-Helene; Khanevski, Andrej; Kristoffersen, Espen Saxhaug; Larsen, Iben Cornelia Keim; Lunder, Oda Vardenær; Matharu, Manjit. (2025) Forecasting migraine with machine learning from mHealth data. European Headache Congress (EHC) 2025
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KonferanseposterDanelakis, Antonios; Faisal, Fahim; Abildsnes, Håkon Kvisle; Winsvold, Bendik Kristoffer Slagsvold; Bjørk, Marte-Helene; Giles, Dominic; Nachev, Parashkev; Kumelj, Tjasa; Hagen, Knut; Matharu, Manjit. (2025) Data driven phenotyping of migraine and its correlation with ICHD-3 criteria and polygenic risk scores. European Headache Congress (EHC) 2025
2024
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KonferanseforedragFaisal, Fahim; Danelakis, Antonios; Bjørk, Marte-Helene; Winsvold, Bendik Kristoffer Slagsvold; Nachev, Parashkev; Matharu, Manjit; Hagen, Knut; IHGC, Int. Headache Genetic Cons.; Tronvik, Erling Andreas; Stubberud, Anker. (2024) Prediction of new-onset migraine for clinical-genotypic data. European Headache Congress (EHC) 2024
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KonferanseforedragDanelakis, Antonios; Abildsnes, Håkon Kvisle; Faisal, Fahim; Winsvold, Bendik Kristoffer Slagsvold; bjørk, marte helene; Giles, Dominic; Nachev, Parashkev; Kumelj, Tjasa; Hagen, Knut; Matharu, Manjit. (2024) Machine learning can predict migraine from genotype and non-headache clinical data with high accuracy. European Headache Congress (EHC) 2024