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Subjects: Minors; mHealth; Design
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Source:
Bagge-Petersen , C M , Langstrup , H , Larsen , J E & Frolich , A 2022 , ' Critical user-configurations in mHealth design: How mHealth-app
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Subjects: T2DM; Chronic illness; Co-creation
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Persson , D R , Zhukouskaya , K , Wegener , A-M K , Jørgensen , L K , Bardram , J E & Bækgaard , P 2023 , ' Exploring Patient Needs and Designing Concepts for Digitally Supported Health Solutions in
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Subjects: Telemedicine; Telepsychiatry; Video consultation
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Source:
Shaker , A A , Austin , S F , Storebø , O J , Schaug , J P , Ayad , A , Sørensen , J A , Tarp , K , Bechmann , H & Simonsen , E 2023 , ' Psychiatric Treatment Conducted via Telemedicine versus
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Subjects: MHealth; Deep learning; Wrist actigraphy
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Source:
Olsen , M , Zeitzer , J M , Richardson , R N , Davidenko , P , Jennum , P J , Sorensen , H B D & Mignot , E 2023 , ' A flexible deep learning architecture for temporal sleep stage classification using
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Subjects: Digital health; Establishing standards; Internet of health care things
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Source:
Óskarsdóttir , M , Islind , A S , August , E , Arnardóttir , E S , Patou , F & Maier , A M 2022 , ' Importance of Getting Enough Sleep and Daily Activity Data to Assess Variability : Longitudinal
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Subjects: Arrhythmia; Arrhythmia screening; Mobile health
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Source:
Kumar , D , Maharjan , R , Maxhuni , A , Dominguez , H , Frølich , A & Bardram , J E 2022 , ' mCardia: A Context-Aware ECG Collection System for Ambulatory Arrhythmia Screening ' , Acm Transactions
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