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

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Bibliographic Details
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
Database: MEDLINE Ultimate
Description
ISSN:1879-8365
DOI:10.3233/SHTI260310