Search Results - "Arsand, Eirik"

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  1. 1

    Data-driven modeling and prediction of blood glucose dynamics: Machine learning applications in type 1 diabetes by Woldaregay, Ashenafi Zebene, Årsand, Eirik, Walderhaug, Ståle, Albers, David, Mamykina, Lena, Botsis, Taxiarchis, Hartvigsen, Gunnar

    Published in Artificial intelligence in medicine (01-07-2019)
    “…•Numerous factors affect BG dynamics and an ideal predictor is expected to incorporate as much information as possible.•Complexity of blood glucose dynamics…”
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    Journal Article
  2. 2

    Data-Driven Blood Glucose Pattern Classification and Anomalies Detection: Machine-Learning Applications in Type 1 Diabetes by Woldaregay, Ashenafi Zebene, Årsand, Eirik, Botsis, Taxiarchis, Albers, David, Mamykina, Lena, Hartvigsen, Gunnar

    Published in Journal of medical Internet research (01-05-2019)
    “…Diabetes mellitus is a chronic metabolic disorder that results in abnormal blood glucose (BG) regulations. The BG level is preferably maintained close to…”
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  3. 3

    Social Media Use in Interventions for Diabetes: Rapid Evidence-Based Review by Gabarron, Elia, Årsand, Eirik, Wynn, Rolf

    Published in Journal of medical Internet research (01-08-2018)
    “…Health authorities recommend educating diabetic patients and their families and initiating measures aimed at improving self-management, promoting a positive…”
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    Features of mobile diabetes applications: review of the literature and analysis of current applications compared against evidence-based guidelines by Chomutare, Taridzo, Fernandez-Luque, Luis, Arsand, Eirik, Hartvigsen, Gunnar

    Published in Journal of medical Internet research (22-09-2011)
    “…Interest in mobile health (mHealth) applications for self-management of diabetes is growing. In July 2009, we found 60 diabetes applications on iTunes for…”
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  6. 6

    Employing a user-centered cognitive walkthrough to evaluate a mHealth diabetes self-management application: A case study and beginning method validation by Georgsson, Mattias, Staggers, Nancy, Årsand, Eirik, Kushniruk, Andre

    Published in Journal of biomedical informatics (01-03-2019)
    “…[Display omitted] •A new CW method was assessed on effectiveness, efficiency and user acceptance.•UC-CW identified more critical usability issues but otherwise…”
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  7. 7

    How mHealth can facilitate collaboration in diabetes care: qualitative analysis of co-design workshops by Bradway, Meghan, Morris, Rebecca L, Giordanengo, Alain, Årsand, Eirik

    Published in BMC health services research (30-11-2020)
    “…Individuals with diabetes are using mobile health (mHealth) to track their self-management. However, individuals can understand even more about their diabetes…”
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  8. 8

    Methods and Evaluation Criteria for Apps and Digital Interventions for Diabetes Self-Management: Systematic Review by Larbi, Dillys, Randine, Pietro, Årsand, Eirik, Antypas, Konstantinos, Bradway, Meghan, Gabarron, Elia

    Published in Journal of medical Internet research (06-07-2020)
    “…There is growing evidence that apps and digital interventions have a positive impact on diabetes self-management. Standard self-management for patients with…”
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  9. 9

    Lifestyle changes among people with type 2 diabetes are associated with participation in online groups and time since diagnosis by Hansen, Anne Helen, Wangberg, Silje C, Ãrsand, Eirik

    Published in BMC health services research (12-07-2021)
    “…Background For people with Type 2 diabetes (T2D), lifestyle changes may be the most effective intervention. Online groups for people with diabetes holds a…”
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  10. 10

    Factors Engaging Users of Diabetes Social Media Channels on Facebook, Twitter, and Instagram: Observational Study by Gabarron, Elia, Larbi, Dillys, Dorronzoro, Enrique, Hasvold, Per Erlend, Wynn, Rolf, Årsand, Eirik

    Published in Journal of medical Internet research (29-09-2020)
    “…Diabetes patient associations and diabetes-specific patient groups around the world are present on social media. Although active participation and engagement…”
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  11. 11

    Performance of the First Combined Smartwatch and Smartphone Diabetes Diary Application Study by Årsand, Eirik, Muzny, Miroslav, Bradway, Meghan, Muzik, Jan, Hartvigsen, Gunnar

    Published in Journal of diabetes science and technology (01-05-2015)
    “…Background: Wearable computing has long been described as the solution to many health challenges. However, the use of this technology as a diabetes patient…”
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  12. 12

    Collecting health-related research data using consumer-based wireless smart scales by Johannessen, Erlend, Johansson, Jonas, Hartvigsen, Gunnar, Horsch, Alexander, Årsand, Eirik, Henriksen, André

    “…•This study examines the current trends of wireless smart scales.•Smart scales data can be a good addition to population studies.•A representative overview of…”
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  13. 13

    Functionalities and input methods for recording food intake: A systematic review by Rusin, Miroslav, Årsand, Eirik, Hartvigsen, Gunnar

    “…Highlights ► We review functionality of food recording applications. ► The majority of the tested applications offered only input of food type and quantity. ►…”
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  14. 14

    Mobile Health: empowering patients and driving change by Bradway, Meghan, Årsand, Eirik, Grøttland, Astrid

    Published in Trends in endocrinology and metabolism (01-03-2015)
    “…Diabetes is a global epidemic, with insufficient medical management capacity. It is becoming increasingly relevant to develop sustainable methods of…”
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  15. 15

    Use of Electronic Health and Its Impact on Doctor-Visiting Decisions Among People With Diabetes: Cross-Sectional Study by Hansen, Anne Helen, Claudi, Tor, Årsand, Eirik

    Published in Journal of medical Internet research (26-04-2019)
    “…Despite the increasing prevalence of diabetes and increasing use of electronic health (eHealth) among people with diabetes, little is known about the…”
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    Associations Between the Use of eHealth and Out-of-Hours Services in People With Type 1 Diabetes: Cross-Sectional Study by Hansen, Anne Helen, Claudi, Tor, Årsand, Eirik

    Published in Journal of medical Internet research (21-03-2019)
    “…Despite the increasing prevalence of diabetes and the increasing use of eHealth, little is known about the association between provider-based health services…”
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  17. 17

    Analysing mHealth usage logs in RCTs: Explaining participants' interactions with type 2 diabetes self-management tools by Bradway, Meghan, Pfuhl, Gerit, Joakimsen, Ragnar, Ribu, Lis, Grøttland, Astrid, Årsand, Eirik

    Published in PloS one (30-08-2018)
    “…The Introduction of mobile health (mHealth) devices to health intervention studies challenges us as researchers to adapt how we analyse the impact of these…”
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  18. 18

    Integrating Visual Dietary Documentation in Mobile-Phone-Based Self-Management Application for Adolescents With Type 1 Diabetes by Frøisland, Dag Helge, Årsand, Eirik

    Published in Journal of diabetes science and technology (01-05-2015)
    “…The goal of modern diabetes treatment is to a large extent focused on self-management to achieve and maintain a healthy, low HbA1c. Despite all new technical…”
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  19. 19

    Wearable sensors with possibilities for data exchange: Analyzing status and needs of different actors in mobile health monitoring systems by Muzny, Miroslav, Henriksen, Andre, Giordanengo, Alain, Muzik, Jan, Grøttland, Astrid, Blixgård, Håvard, Hartvigsen, Gunnar, Årsand, Eirik

    “…•Few wearable devices support transfer of data via local wired or wireless connection•Access to data is often disabled due to missing verification of data…”
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  20. 20

    Relations Between the Use of Electronic Health and the Use of General Practitioner and Somatic Specialist Visits in Patients With Type 1 Diabetes: Cross-Sectional Study by Hansen, Anne Helen, Broz, Jan, Claudi, Tor, Årsand, Eirik

    Published in Journal of medical Internet research (07-11-2018)
    “…The prevalence of diabetes and the use of electronic health (eHealth) are increasing. People with diabetes need frequent monitoring and follow-up of health…”
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