BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

380 related articles for article (PubMed ID: 34726798)

  • 1. mHealth apps for gestational diabetes mellitus that provide clinical decision support or artificial intelligence: A scoping review.
    Daley BJ; Ni'Man M; Neves MR; Bobby Huda MS; Marsh W; Fenton NE; Hitman GA; McLachlan S
    Diabet Med; 2022 Jan; 39(1):e14735. PubMed ID: 34726798
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Cultural and Digital Health Literacy Appropriateness of App- and Web-Based Systems Designed for Pregnant Women With Gestational Diabetes Mellitus: Scoping Review.
    Birati Y; Yefet E; Perlitz Y; Shehadeh N; Spitzer S
    J Med Internet Res; 2022 Oct; 24(10):e37844. PubMed ID: 36240008
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Effectivness of specific mobile health applications (mHealth-apps) in gestational diabtetes mellitus: a systematic review.
    Eberle C; Loehnert M; Stichling S
    BMC Pregnancy Childbirth; 2021 Dec; 21(1):808. PubMed ID: 34865645
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Use and Preferences of Health Apps among Women and Healthcare Professionals Regarding GDM Postpartum Care Related to Diet, Physical Activity, and Weight Management: A Cross-Sectional Survey.
    Roesler A; Butten K; Calyx C; Holmes-Truscott E; Taylor P
    Nutrients; 2023 Jul; 15(15):. PubMed ID: 37571242
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Mobile health as a primary mode of intervention for women at risk of or diagnosed with gestational diabetes mellitus: a scoping review.
    Edwards KJ; Maslin K; Andrade J; Jones RB; Shawe J
    JBI Evid Synth; 2022 Sep; 20(9):2195-2243. PubMed ID: 35152244
    [TBL] [Abstract][Full Text] [Related]  

  • 6. An Innovative Artificial Intelligence-Based App for the Diagnosis of Gestational Diabetes Mellitus (GDM-AI): Development Study.
    Shen J; Chen J; Zheng Z; Zheng J; Liu Z; Song J; Wong SY; Wang X; Huang M; Fang PH; Jiang B; Tsang W; He Z; Liu T; Akinwunmi B; Wang CC; Zhang CJP; Huang J; Ming WK
    J Med Internet Res; 2020 Sep; 22(9):e21573. PubMed ID: 32930674
    [TBL] [Abstract][Full Text] [Related]  

  • 7. M♡THer, an mHealth System to Support Women with Gestational Diabetes Mellitus: Feasibility and Acceptability Study.
    Varnfield M; Redd C; Stoney RM; Higgins L; Scolari N; Warwick R; Iedema J; Rundle J; Dutton W
    Diabetes Technol Ther; 2021 May; 23(5):358-366. PubMed ID: 33210954
    [No Abstract]   [Full Text] [Related]  

  • 8. App-Supported Lifestyle Interventions in Pregnancy to Manage Gestational Weight Gain and Prevent Gestational Diabetes: Scoping Review.
    Raab R; Geyer K; Zagar S; Hauner H
    J Med Internet Res; 2023 Nov; 25():e48853. PubMed ID: 37948111
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Mobile phone apps for clinical decision support in pregnancy: a scoping review.
    Carter J; Sandall J; Shennan AH; Tribe RM
    BMC Med Inform Decis Mak; 2019 Nov; 19(1):219. PubMed ID: 31718627
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Enhancing System Acceptance through User-Centred Design: Integrating Patient Generated Wellness Data.
    Pais S; Petrova K; Parry D
    Sensors (Basel); 2021 Dec; 22(1):. PubMed ID: 35009597
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Quality Evaluation of English Mobile Applications for Gestational Diabetes: App Review using Mobile Application Rating Scale (MARS).
    Kalhori SRN; Hemmat M; Noori T; Heydarian S; Katigari MR
    Curr Diabetes Rev; 2021; 17(2):161-168. PubMed ID: 32619173
    [TBL] [Abstract][Full Text] [Related]  

  • 12. How do women with a history of gestational diabetes mellitus use mHealth during and after pregnancy? Qualitative exploration of women's views and experiences.
    Edwards KJ; Bradwell HL; Jones RB; Andrade J; Shawe JA
    Midwifery; 2021 Jul; 98():102995. PubMed ID: 33784541
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Mobile technology in health (mHealth) and antenatal care-Searching for apps and available solutions: A systematic review.
    Haddad SM; Souza RT; Cecatti JG
    Int J Med Inform; 2019 Jul; 127():1-8. PubMed ID: 31128820
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Quality, Usability, and Effectiveness of mHealth Apps and the Role of Artificial Intelligence: Current Scenario and Challenges.
    Deniz-Garcia A; Fabelo H; Rodriguez-Almeida AJ; Zamora-Zamorano G; Castro-Fernandez M; Alberiche Ruano MDP; Solvoll T; Granja C; Schopf TR; Callico GM; Soguero-Ruiz C; Wägner AM;
    J Med Internet Res; 2023 May; 25():e44030. PubMed ID: 37140973
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Experiences of using a digital type 2 diabetes prevention application designed to support women with previous gestational diabetes.
    Ekezie W; Dallosso H; Saravanan P; Khunti K; Hadjiconstantinou M
    BMC Health Serv Res; 2021 Aug; 21(1):772. PubMed ID: 34348719
    [TBL] [Abstract][Full Text] [Related]  

  • 16. The Potential of mHealth Applications in Improving Resistant Hypertension Self-Assessment, Treatment and Control.
    Santo K; Redfern J
    Curr Hypertens Rep; 2019 Oct; 21(10):81. PubMed ID: 31598792
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Acceptance of Using an Ecosystem of Mobile Apps for Use in Diabetes Clinic for Self-Management of Gestational Diabetes Mellitus.
    Pais S; Parry D; Petrova K; Rowan J
    Stud Health Technol Inform; 2017; 245():188-192. PubMed ID: 29295079
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Mobile Health Apps, Family Caregivers, and Care Planning: Scoping Review.
    Kelley MM; Powell T; Camara D; Shah N; Norton JM; Deitelzweig C; Vaidy N; Hsiao CJ; Wang J; Bierman AS
    J Med Internet Res; 2024 May; 26():e46108. PubMed ID: 38781588
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Identification and Evaluation of Methodologies to Assess the Quality of Mobile Health Apps in High-, Low-, and Middle-Income Countries: Rapid Review.
    Woulfe F; Fadahunsi KP; Smith S; Chirambo GB; Larsson E; Henn P; Mawkin M; O' Donoghue J
    JMIR Mhealth Uhealth; 2021 Oct; 9(10):e28384. PubMed ID: 34636737
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 19.