DialBetics: Smartphone-based self-management for type 2 diabetes patients

Journal of Diabetes Science and Technology

Volumn 6, Issue 4, 2012, Pages 983-985

  Waki, Kayo ^a   Fujita, Hideo ^a   Uchimura, Yuji ^a   Aramaki, Eiji ^b   Omae, Koji ^a,c   Kadowaki, Takashi ^a   Ohe, Kazuhiko ^b  

^a UNIVERSITY OF TOKYO   (Japan)

^b UNIVERSITY OF TOKYO   (Japan)

^c NTT DOCOMO   (Japan)

Author keywords

Mobile phone; Self management; Telemedicine; Type 2 diabetes

Indexed keywords

HEMOGLOBIN A1C;

BLOOD PRESSURE MONITORING; BODY MASS; HEALTH CARE PERSONNEL; HEMOGLOBIN BLOOD LEVEL; HUMAN; INFORMATION TECHNOLOGY; INTERPERSONAL COMMUNICATION; LETTER; MOBILE PHONE; NATURAL LANGUAGE PROCESSING; NON INSULIN DEPENDENT DIABETES MELLITUS; PATIENT MONITORING; PILOT STUDY; AGED; ALGORITHM; AUTOMATIC SPEECH RECOGNITION; BLOOD; CLINICAL TRIAL; COMPUTER SECURITY; CONFIDENTIALITY; DOCTOR PATIENT RELATION; INFORMATION SYSTEM; INSTRUMENTATION; MEDICAL RECORD; METHODOLOGY; MIDDLE AGED; SELF CARE; UTILIZATION REVIEW;

AGED; ALGORITHMS; CELLULAR PHONE; COMMUNICATION; COMPUTER SECURITY; CONFIDENTIALITY; DIABETES MELLITUS, TYPE 2; HEALTH RECORDS, PERSONAL; HUMANS; INFORMATION SYSTEMS; MIDDLE AGED; PHYSICIAN-PATIENT RELATIONS; PILOT PROJECTS; SELF CARE; SPEECH RECOGNITION SOFTWARE;

EID: 84873134232     PISSN: None     EISSN: 19322968     Source Type: Journal    
DOI: 10.1177/193229681200600433     Document Type: Letter

References (4)

1. American Diabetes Association. Standards of medical care in diabetes-2010. Diabetes Care. 2010;33 Suppl 1:S11-61.
2. Russell-Minda E, Jutai J, Speechley M, Bradley K, Chudyk A, Petrella R. Health technologies for monitoring and managing diabetes: a systematic review. J Diabetes Sci Technol. 2009;3(6):1460-71.
3. Tight blood pressure control and risk of macrovascular and microvascular complications in type 2 diabetes: UKPDS 38. UK Prospective Diabetes Study Group. BMJ. 1998;317(7160):703-13.
4. Aramaki E, Imai T, Miyo K, Ohe K. Orthographic Disambiguation Incorporating Transliterated Probability, International Joint Conference on Natural Language Processing. IJCNLP2008, 2008. 48-55.