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Pubmed for Handhelds
PUBMED FOR HANDHELDS
Journal Abstract Search
173 related items for PubMed ID: 24825702
41. Model driven mobile care for patients with type 1 diabetes. Skrøvseth SO, Arsand E, Godtliebsen F, Joakimsen RM. Stud Health Technol Inform; 2012; 180():1045-9. PubMed ID: 22874353 [Abstract] [Full Text] [Related]
42. mHealth data collector: an application to collect and report indicators for assessment of cardiometabolic risk. Shishido HY, Alves da Cruz de Andrade R, Eler GJ. Stud Health Technol Inform; 2014; 201():425-32. PubMed ID: 24943577 [Abstract] [Full Text] [Related]
43. The use of telemedicine in patients with multiple sclerosis. Kefaliakos A, Pliakos I, Kalokerinou A, Papadimitrioy M, Mechiili A, Diomidous M. Stud Health Technol Inform; 2014; 202():320. PubMed ID: 25000088 [No Abstract] [Full Text] [Related]
44. Exploring User Experience of a Telehealth System for the Danish TeleCare North Trial. Lilholt PH, Hæsum LK, Hejlesen OK. Stud Health Technol Inform; 2015; 210():301-5. PubMed ID: 25991154 [Abstract] [Full Text] [Related]
45. Now Is the Time for a Security and Safety Standard for Consumer Smartphones Controlling Diabetes Devices. Klonoff DC, Kerr D, Kleidermacher D. J Diabetes Sci Technol; 2017 Sep; 11(5):870-873. PubMed ID: 28728436 [No Abstract] [Full Text] [Related]
46. Designing mobile support for glycemic control in patients with diabetes. Harris LT, Tufano J, Le T, Rees C, Lewis GA, Evert AB, Flowers J, Collins C, Hoath J, Hirsch IB, Goldberg HI, Ralston JD. J Biomed Inform; 2010 Oct; 43(5 Suppl):S37-S40. PubMed ID: 20937484 [Abstract] [Full Text] [Related]
48. How can diabetes applications be better? Sparling K. Can J Diabetes; 2015 Jun; 39(3):192-3. PubMed ID: 26004905 [No Abstract] [Full Text] [Related]
51. [Avetana--data-management for preventive medicine]. Gmelin M. Biomed Tech (Berl); 2005 Jun; 50(7-8):238-40. PubMed ID: 16117438 [Abstract] [Full Text] [Related]
52. Developing and testing a mobile application programme to support self-management in patients with stable angina: a feasibility study protocol. Wang W, Chan S, He HG. Stud Health Technol Inform; 2014 Jun; 201():241-8. PubMed ID: 24943550 [Abstract] [Full Text] [Related]
53. Training of carbohydrate estimation for people with diabetes using mobile augmented reality. Domhardt M, Tiefengrabner M, Dinic R, Fötschl U, Oostingh GJ, Stütz T, Stechemesser L, Weitgasser R, Ginzinger SW. J Diabetes Sci Technol; 2015 May; 9(3):516-24. PubMed ID: 25883165 [Abstract] [Full Text] [Related]
54. New trends in diabetes management: mobile telemedicine closed-loop system. Hernando ME, Gómez EJ, Gili A, Gómez M, García G, del Pozo F. Stud Health Technol Inform; 2004 May; 105():70-9. PubMed ID: 15718596 [Abstract] [Full Text] [Related]
55. Mobile technology support for clinical decision in diabetic keto-acidosis emergency. Frandes M, Timar B, Tole A, Holban S, Lungeanu D. Stud Health Technol Inform; 2015 May; 210():316-20. PubMed ID: 25991157 [Abstract] [Full Text] [Related]
57. Impact of complementary therapies via mobile technologies on Icelandic same day surgical patients' reports of anxiety, pain and self-efficacy in healing: a randomized controlled trial in process. Hansen MM. Stud Health Technol Inform; 2013 May; 192():1165. PubMed ID: 23920939 [Abstract] [Full Text] [Related]
58. A mobile health approach to tuberculosis contact tracing in resource-limited settings. Ha YP, Littman-Quinn R, Antwi C, Seropola G, Green RS, Tesfalul MA, Ho-Foster A, Luberti AA, Holmes JH, Steenhoff AP, Kovarik CL. Stud Health Technol Inform; 2013 May; 192():1188. PubMed ID: 23920962 [Abstract] [Full Text] [Related]
60. Including other system in E-Care telemonitoring platform. Ahmed Benyahia A, Hajjam A, Andres E, Hajjam M, Hilaire V. Stud Health Technol Inform; 2013 May; 190():115-7. PubMed ID: 23823394 [Abstract] [Full Text] [Related] Page: [Previous] [Next] [New Search]