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Volumn , Issue , 2013, Pages 133-142

Supporting disease insight through data analysis: Refinements of the MONARCA self-assessment system

Author keywords

Bipolar disorder; Data analysis; Mental illness management; Personal health monitoring; Pervasive healthcare; Smartphone

Indexed keywords

BIPOLAR DISORDER; FIELD DEPLOYMENT; HEALTH AWARENESS; MENTAL ILLNESS; PERSONAL HEALTH; PERVASIVE HEALTHCARE; TECHNICAL IMPLEMENTATION; USER CENTERED DESIGNS;

EID: 84885206182     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2493432.2493507     Document Type: Conference Paper
Times cited : (97)

References (16)
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    • Social fmri: Investigating and shaping social mechanisms in the real world
    • Dec.
    • Aharony, N., Pan, W., Ip, C., Khayal, I., and Pentland, A. Social fmri: Investigating and shaping social mechanisms in the real world. Pervasive Mob. Comput. 7, 6 (Dec. 2011), 643-659.
    • (2011) Pervasive Mob. Comput. , vol.7 , Issue.6 , pp. 643-659
    • Aharony, N.1    Pan, W.2    Ip, C.3    Khayal, I.4    Pentland, A.5
  • 14
    • 33745860100 scopus 로고    scopus 로고
    • Investigating health management practices of individuals with diabetes
    • ACM (New York, NY, USA)
    • Mamykina, L., Mynatt, E. D., and Kaufman, D. R. Investigating health management practices of individuals with diabetes. In In Proc. ACM CHI 2006, CHI '06, ACM (New York, NY, USA, 2006), 927-936.
    • (2006) Proc. ACM CHI 2006, CHI '06 , pp. 927-936
    • Mamykina, L.1    Mynatt, E.D.2    Kaufman, D.R.3
  • 15
    • 80054962277 scopus 로고    scopus 로고
    • A framework for overcoming challenges in designing persuasive monitoring systems for mental illness
    • IEEE Press
    • Marcu, G., Bardram, J. E., and Gabrielli, S. A Framework for Overcoming Challenges in Designing Persuasive Monitoring Systems for Mental Illness. In Proceedings of Pervasive Health 2011, IEEE Press (2011), 1-10.
    • (2011) Proceedings of Pervasive Health 2011 , pp. 1-10
    • Marcu, G.1    Bardram, J.E.2    Gabrielli, S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.