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Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

173 related items for PubMed ID: 20167186

  • 1. An intensive insulinotherapy mobile phone application built on artificial intelligence techniques.
    Curran K, Nichols E, Xie E, Harper R.
    J Diabetes Sci Technol; 2010 Jan 01; 4(1):209-20. PubMed ID: 20167186
    [Abstract] [Full Text] [Related]

  • 2. Mobile health applications to assist patients with diabetes: lessons learned and design implications.
    Årsand E, Frøisland DH, Skrøvseth SO, Chomutare T, Tatara N, Hartvigsen G, Tufano JT.
    J Diabetes Sci Technol; 2012 Sep 01; 6(5):1197-206. PubMed ID: 23063047
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  • 4. A real-time, mobile phone-based telemedicine system to support young adults with type 1 diabetes.
    Farmer A, Gibson O, Hayton P, Bryden K, Dudley C, Neil A, Tarassenko L.
    Inform Prim Care; 2005 Sep 01; 13(3):171-7. PubMed ID: 16259856
    [Abstract] [Full Text] [Related]

  • 5. The Mobile Insulin Titration Intervention (MITI) for Insulin Adjustment in an Urban, Low-Income Population: Randomized Controlled Trial.
    Levy N, Moynihan V, Nilo A, Singer K, Bernik LS, Etiebet MA, Fang Y, Cho J, Natarajan S.
    J Med Internet Res; 2015 Jul 17; 17(7):e180. PubMed ID: 26187303
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  • 6. Mobile phone-based pattern recognition and data analysis for patients with type 1 diabetes.
    Skrøvseth SO, Årsand E, Godtliebsen F, Hartvigsen G.
    Diabetes Technol Ther; 2012 Dec 17; 14(12):1098-104. PubMed ID: 23035775
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  • 9. Sociodemographic and clinical correlates of key outcomes from a Mobile Insulin Titration Intervention (MITI) for medically underserved patients.
    Langford AT, Wang B, Orzeck-Byrnes NA, Aidasani SR, Hu L, Applegate M, Moloney DN, Sevick MA, Rogers ES, Levy NK.
    Patient Educ Couns; 2019 Mar 17; 102(3):520-527. PubMed ID: 30293934
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  • 10. Using mobile phone text messages to improve insulin injection technique and glycaemic control in patients with diabetes mellitus: a multi-centre study in Turkey.
    Celik S, Cosansu G, Erdogan S, Kahraman A, Isik S, Bayrak G, Bektas B, Olgun N.
    J Clin Nurs; 2015 Jun 17; 24(11-12):1525-33. PubMed ID: 25422134
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  • 11. Carbohydrate Estimation by a Mobile Phone-Based System Versus Self-Estimations of Individuals With Type 1 Diabetes Mellitus: A Comparative Study.
    Rhyner D, Loher H, Dehais J, Anthimopoulos M, Shevchik S, Botwey RH, Duke D, Stettler C, Diem P, Mougiakakou S.
    J Med Internet Res; 2016 May 11; 18(5):e101. PubMed ID: 27170498
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  • 12. Implementation of a WAP-based telemedicine system for patient monitoring.
    Hung K, Zhang YT.
    IEEE Trans Inf Technol Biomed; 2003 Jun 11; 7(2):101-7. PubMed ID: 12834165
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  • 13. Gquest: modeling patient questionnaires and administering them through a mobile platform application.
    Lanzola G, Ginardi MG, Mazzanti A, Quaglini S.
    Comput Methods Programs Biomed; 2014 Nov 11; 117(2):277-91. PubMed ID: 25154645
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  • 15. User Experience of an Innovative Mobile Health Program to Assist in Insulin Dose Adjustment: Outcomes of a Proof-Of-Concept Trial.
    Ding H, Fatehi F, Russell AW, Karunanithi M, Menon A, Bird D, Gray LC.
    Telemed J E Health; 2018 Jul 11; 24(7):536-543. PubMed ID: 29261476
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  • 16. A randomized controlled trial comparing a telemedicine therapeutic intervention with routine care in adults with type 1 diabetes mellitus treated by insulin pumps.
    Yaron M, Sher B, Sorek D, Shomer M, Levek N, Schiller T, Gaspar M, Frumkin Ben-David R, Mazor-Aronovitch K, Tish E, Shapira Y, Pinhas-Hamiel O.
    Acta Diabetol; 2019 Jun 11; 56(6):667-673. PubMed ID: 30783823
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  • 17. Blood Culture Testing via a Mobile App That Uses a Mobile Phone Camera: A Feasibility Study.
    Lee G, Lee Y, Chong YP, Jang S, Kim MN, Kim JH, Kim WS, Lee JH.
    J Med Internet Res; 2016 Oct 26; 18(10):e282. PubMed ID: 27784649
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  • 18. A Fully Automated Conversational Artificial Intelligence for Weight Loss: Longitudinal Observational Study Among Overweight and Obese Adults.
    Stein N, Brooks K.
    JMIR Diabetes; 2017 Nov 01; 2(2):e28. PubMed ID: 30291087
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  • 19. Functionalities and input methods for recording food intake: a systematic review.
    Rusin M, Arsand E, Hartvigsen G.
    Int J Med Inform; 2013 Aug 01; 82(8):653-64. PubMed ID: 23415822
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