BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

479 related articles for article (PubMed ID: 32975198)

  • 1. Real-World Evidence of User Engagement With Mobile Health for Diabetes Management: Longitudinal Observational Study.
    Böhm AK; Jensen ML; Sørensen MR; Stargardt T
    JMIR Mhealth Uhealth; 2020 Nov; 8(11):e22212. PubMed ID: 32975198
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A feature-oriented analysis of developers' descriptions and user reviews of top mHealth applications for diabetes and hypertension.
    Wang S; Lee HS; Choi W
    Int J Med Inform; 2021 Dec; 156():104598. PubMed ID: 34624662
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Examining Predictors of Real-World User Engagement with Self-Guided eHealth Interventions: Analysis of Mobile Apps and Websites Using a Novel Dataset.
    Baumel A; Kane JM
    J Med Internet Res; 2018 Dec; 20(12):e11491. PubMed ID: 30552077
    [TBL] [Abstract][Full Text] [Related]  

  • 4. User Experience of Cognitive Behavioral Therapy Apps for Depression: An Analysis of App Functionality and User Reviews.
    Stawarz K; Preist C; Tallon D; Wiles N; Coyle D
    J Med Internet Res; 2018 Jun; 20(6):e10120. PubMed ID: 29875087
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Mobile applications for diabetics: a systematic review and expert-based usability evaluation considering the special requirements of diabetes patients age 50 years or older.
    Arnhold M; Quade M; Kirch W
    J Med Internet Res; 2014 Apr; 16(4):e104. PubMed ID: 24718852
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Methods and Measures Used to Evaluate Patient-Operated Mobile Health Interventions: Scoping Literature Review.
    Bradway M; Gabarron E; Johansen M; Zanaboni P; Jardim P; Joakimsen R; Pape-Haugaard L; Årsand E
    JMIR Mhealth Uhealth; 2020 Apr; 8(4):e16814. PubMed ID: 32352394
    [TBL] [Abstract][Full Text] [Related]  

  • 7. User Engagement With Smartphone Apps and Cardiovascular Disease Risk Factor Outcomes: Systematic Review.
    Spaulding EM; Marvel FA; Piasecki RJ; Martin SS; Allen JK
    JMIR Cardio; 2021 Feb; 5(1):e18834. PubMed ID: 33533730
    [TBL] [Abstract][Full Text] [Related]  

  • 8. The Continued Use of Mobile Health Apps: Insights From a Longitudinal Study.
    Vaghefi I; Tulu B
    JMIR Mhealth Uhealth; 2019 Aug; 7(8):e12983. PubMed ID: 31469081
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Examining Responsiveness to an Incentive-Based Mobile Health App: Longitudinal Observational Study.
    Brower J; LaBarge MC; White L; Mitchell MS
    J Med Internet Res; 2020 Aug; 22(8):e16797. PubMed ID: 32773371
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Mobile Apps for Medication Management: Review and Analysis.
    Tabi K; Randhawa AS; Choi F; Mithani Z; Albers F; Schnieder M; Nikoo M; Vigo D; Jang K; Demlova R; Krausz M
    JMIR Mhealth Uhealth; 2019 Sep; 7(9):e13608. PubMed ID: 31512580
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Characterizing user engagement with health app data: a data mining approach.
    Serrano KJ; Coa KI; Yu M; Wolff-Hughes DL; Atienza AA
    Transl Behav Med; 2017 Jun; 7(2):277-285. PubMed ID: 28616846
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Perspectives and Needs of Malaysian Patients With Diabetes for a Mobile Health App Support on Self-Management of Diabetes: Qualitative Study.
    Sze WT; Kow SG
    JMIR Diabetes; 2023 Oct; 8():e40968. PubMed ID: 37870903
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Mobile-Based and Cloud-Based System for Self-management of People With Type 2 Diabetes: Development and Usability Evaluation.
    Salari R; R Niakan Kalhori S; GhaziSaeedi M; Jeddi M; Nazari M; Fatehi F
    J Med Internet Res; 2021 Jun; 23(6):e18167. PubMed ID: 34076579
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Features, functions, and quality of mobile applications for type 2 diabetes care in China: Systematic search of app stores.
    Tao X; Zhang P; Zhang X; Mao L; Peiris D
    Int J Med Inform; 2023 Dec; 180():105273. PubMed ID: 37925856
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Evaluation of a recommender app for apps for the treatment of depression and anxiety: an analysis of longitudinal user engagement.
    Cheung K; Ling W; Karr CJ; Weingardt K; Schueller SM; Mohr DC
    J Am Med Inform Assoc; 2018 Aug; 25(8):955-962. PubMed ID: 29659857
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Applicability of the User Engagement Scale to Mobile Health: A Survey-Based Quantitative Study.
    Holdener M; Gut A; Angerer A
    JMIR Mhealth Uhealth; 2020 Jan; 8(1):e13244. PubMed ID: 31899454
    [TBL] [Abstract][Full Text] [Related]  

  • 17. The Reviews Are in: A Qualitative Content Analysis of Consumer Perspectives on Apps for Bipolar Disorder.
    Nicholas J; Fogarty AS; Boydell K; Christensen H
    J Med Internet Res; 2017 Apr; 19(4):e105. PubMed ID: 28389420
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Comparing Two Commercially Available Diabetes Apps to Explore Challenges in User Engagement: Randomized Controlled Feasibility Study.
    Maharaj A; Lim D; Murphy R; Serlachius A
    JMIR Form Res; 2021 Jun; 5(6):e25151. PubMed ID: 34132640
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Clinically Meaningful Use of Mental Health Apps and its Effects on Depression: Mixed Methods Study.
    Zhang R; Nicholas J; Knapp AA; Graham AK; Gray E; Kwasny MJ; Reddy M; Mohr DC
    J Med Internet Res; 2019 Dec; 21(12):e15644. PubMed ID: 31859682
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Adults' Preferences for Behavior Change Techniques and Engagement Features in a Mobile App to Promote 24-Hour Movement Behaviors: Cross-Sectional Survey Study.
    DeSmet A; De Bourdeaudhuij I; Chastin S; Crombez G; Maddison R; Cardon G
    JMIR Mhealth Uhealth; 2019 Dec; 7(12):e15707. PubMed ID: 31859680
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 24.