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Explainable Multitask Transformers for Early Detection of Smoking Behaviors and Lung Cancer Symptoms from Danish Electronic Health Records.

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Title: Explainable Multitask Transformers for Early Detection of Smoking Behaviors and Lung Cancer Symptoms from Danish Electronic Health Records.
Authors: Sorayaie Azar A; Department of Computer Engineering, Urmia University, Urmia, Iran.; SDU Health Informatics and Technology, The Maersk Mc-Kinney Moller Institute, University of Southern Denmark, Odense, Denmark., Wiil UK; SDU Health Informatics and Technology, The Maersk Mc-Kinney Moller Institute, University of Southern Denmark, Odense, Denmark., Henriksen MBH; Department of Oncology, Lillebaelt Hospital, University Hospital of Southern Denmark, Vejle, Denmark., Bagherzadeh Mohasefi J; Department of Computer Engineering, Urmia University, Urmia, Iran.; SDU Health Informatics and Technology, The Maersk Mc-Kinney Moller Institute, University of Southern Denmark, Odense, Denmark., Hilberg O; Department of Internal Medicine, Lillebaelt Hospital, University Hospital of Southern Denmark, Vejle, Denmark.; Institute of Regional Health Research, University of Southern Denmark, Odense, Denmark., Naemi A; SDU Health Informatics and Technology, The Maersk Mc-Kinney Moller Institute, University of Southern Denmark, Odense, Denmark.; Nordcee, Department of Biology, University of Southern Denmark, Odense, Denmark., Ebrahimi A; SDU Health Informatics and Technology, The Maersk Mc-Kinney Moller Institute, University of Southern Denmark, Odense, Denmark.; Department of Neurology, Danish Multiple Sclerosis Center, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark.
Source: Studies in health technology and informatics [Stud Health Technol Inform] 2026 May 21; Vol. 336, pp. 904-908.
Publication Type: Journal Article
Journal Info: Publisher: IOS Press Country of Publication: Netherlands NLM ID: 9214582 Publication Model: Print Cited Medium: Internet ISSN: 1879-8365 (Electronic) Linking ISSN: 09269630 NLM ISO Abbreviation: Stud Health Technol Inform Subsets: MEDLINE
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  Data: <searchLink fieldCode="AU" term="%22Sorayaie+Azar+A%22">Sorayaie Azar A</searchLink>; Department of Computer Engineering, Urmia University, Urmia, Iran.; SDU Health Informatics and Technology, The Maersk Mc-Kinney Moller Institute, University of Southern Denmark, Odense, Denmark.<br /><searchLink fieldCode="AU" term="%22Wiil+UK%22">Wiil UK</searchLink>; SDU Health Informatics and Technology, The Maersk Mc-Kinney Moller Institute, University of Southern Denmark, Odense, Denmark.<br /><searchLink fieldCode="AU" term="%22Henriksen+MBH%22">Henriksen MBH</searchLink>; Department of Oncology, Lillebaelt Hospital, University Hospital of Southern Denmark, Vejle, Denmark.<br /><searchLink fieldCode="AU" term="%22Bagherzadeh+Mohasefi+J%22">Bagherzadeh Mohasefi J</searchLink>; Department of Computer Engineering, Urmia University, Urmia, Iran.; SDU Health Informatics and Technology, The Maersk Mc-Kinney Moller Institute, University of Southern Denmark, Odense, Denmark.<br /><searchLink fieldCode="AU" term="%22Hilberg+O%22">Hilberg O</searchLink>; Department of Internal Medicine, Lillebaelt Hospital, University Hospital of Southern Denmark, Vejle, Denmark.; Institute of Regional Health Research, University of Southern Denmark, Odense, Denmark.<br /><searchLink fieldCode="AU" term="%22Naemi+A%22">Naemi A</searchLink>; SDU Health Informatics and Technology, The Maersk Mc-Kinney Moller Institute, University of Southern Denmark, Odense, Denmark.; Nordcee, Department of Biology, University of Southern Denmark, Odense, Denmark.<br /><searchLink fieldCode="AU" term="%22Ebrahimi+A%22">Ebrahimi A</searchLink>; SDU Health Informatics and Technology, The Maersk Mc-Kinney Moller Institute, University of Southern Denmark, Odense, Denmark.; Department of Neurology, Danish Multiple Sclerosis Center, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark.
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