These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

153 related items for PubMed ID: 16259856

  • 1. 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; 13(3):171-7. PubMed ID: 16259856
    [Abstract] [Full Text] [Related]

  • 2. A remote patient monitoring system using a Java-enabled 3G mobile phone.
    Zhang P, Kogure Y, Matsuoka H, Akutagawa M, Kinouchi Y, Zhang Q.
    Annu Int Conf IEEE Eng Med Biol Soc; 2007; 2007():3713-6. PubMed ID: 18002804
    [Abstract] [Full Text] [Related]

  • 3.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 4.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 5.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 6. 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]

  • 7.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 8. 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 01; 56(6):667-673. PubMed ID: 30783823
    [Abstract] [Full Text] [Related]

  • 9. Remote health monitoring using mobile phones and Web services.
    Agarwal S, Lau CT.
    Telemed J E Health; 2010 Jun 01; 16(5):603-7. PubMed ID: 20575728
    [Abstract] [Full Text] [Related]

  • 10. 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 01; 14(12):1098-104. PubMed ID: 23035775
    [Abstract] [Full Text] [Related]

  • 11.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 12.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 13.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 14.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 15.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 16.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 17.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 18.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 19.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 20. Mobile phone technologies and advanced data analysis towards the enhancement of diabetes self-management.
    Kouris I, Mougiakakou S, Scarnato L, Iliopoulou D, Diem P, Vazeou A, Koutsouris D.
    Int J Electron Healthc; 2010 Dec 01; 5(4):386-402. PubMed ID: 21041177
    [Abstract] [Full Text] [Related]

    Page: [Next] [New Search]
    of 8.