Framing self-quantification for individual-level preventive health care

HEALTHINF 2015 - 8th International Conference on Health Informatics, Proceedings; Part of 8th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2015

Volumn , Issue , 2015, Pages 336-343

  Liang, Zilu ^a   Martell, Mario Alberto Chapa ^a  

^a UNIVERSITY OF TOKYO   (Japan)

Author keywords

Framework; Personal analytics; Preventive health care; Quantified self; Self health care

Indexed keywords

BIOMEDICAL ENGINEERING; HEALTH CARE;

FRAMEWORK; HEALTH CONDITION; HEALTH-CARE SYSTEM; INDIVIDUAL LEVELS; OBJECTIVE ORIENTED; PERSONAL ANALYTICS; POPULATION LEVELS; QUANTIFIED SELF;

MEDICAL INFORMATICS;

EID: 84938900582     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.5220/0005202503360343     Document Type: Conference Paper

References (35)

1. Almalki, M., Lopez-Gampos, G., Martin-Sanchez, F., and Gray, K. (2014). Classification of data and activities in self-quantification systems. Proceedings of HISA BIG DATA 2014 conference, pages 18-19.
2. Berengueres, J. (2012). The Toyota production system re-contextualized. lulu.com.
3. Buysse, D., Reynolds, C., Monk, T., Berman, S., and Kupfer, D. (1989). The pittsburge sleep quality index: a new instrument for psychiatric practice and research. Psychiatry Res, 28:193-213.
4. Casson, R. J. (2011). The pesty p value. Clinical & Experimental Ophthalmology, 39(9):849-850.
5. Clifton, L., and Clifton., D. A., Pimentel, M. A. F., Watkinson, P. J., and Tarassenko, L. (2013). Gaussian processes for personalized ehealth monitoring with wearable sensors. Biomedical Engineering, IEEE Transactions on, 60(1):193-197.
6. CNET (2014). Best storage devices of 2014. Available online at http://www.cnet.com/topics/storage/best-hard-drives-and-storage/ (Last accessed on July 28, 2014).
7. Code42 (2014). Crashplan. http://www.code42.com/crashplan/features/compare/ (Last accessed on July 28, 2014).
8. Doi, Y., Minowa, M., and Tango, T. (2003). Impact and correlates of poor sleep quality in japanese white-collar employees. Sleep, 26(4):467-471.
9. Fox, S. and Duggan, M. (2013). Tracking for health. In Pew Research Center's Internet and American Life Project.
10. Group, D. P. P. R. (2012). The 10-year cost-effectiveness of lifestyle intervention or metformin for diabetes prevention: an intent-to-treat analysis of the dpp/dppos. Diabetes Care, 35(4):723-730.
11. Harman, H. H. (1976). Modern Factor Analysis. University of Chicago Press.
12. HealthVault (2014). https://www.healthvault.com/ (Last accessed on July 28, 2014).
13. HL7 (viewed on July 28, 2014). Introduction to h17 standard. http://www.h17.org/implement/standards/.
14. Juniper (2013). Mobile health & fitness: monitoring, appenabled devices & cost savings 2013-2018.
15. JustCloud (2014). http://www.justcloud.com/ (Last accessed on July 28, 2014).
16. Kampmeier, C. (viewed on July 31, 2014). Home network data storage and backup. Available online at http://kampmeier.com/chris/blog/?p=8.
17. Lewis, D. (2014). Letting go of things we cant control: remembering that sleep matters. https://scottleibrand.wordpress.com/2014/07/25/letting-go-of-things-we-cant-control-remembering-that-sleep-matters-diyps/.
18. Mathers, C. D. and Loncar, D. (2006). Projections of global mortality and burden of disease from 2002 to 2030. PLoS Med, 3(11):e442.
19. Mehl, M. R. and Conner, T. S. (2012). Handbook of Research Methods for Studying Daily Life. The Guilford Press.
20. MyPCBackup (2014). http://www.mypcbackup.com/ (Last accessed on July 28, 2014).
21. Nuzzo, R. (2014). Scientific method: Statistical errors. Nature, 506:150-152.
22. Pearson, K. (1895). Notes on regression and inheritance in the case of two parents. Proceedings of the Royal Society of London, 58:240-242.
23. Philip, B. A. and Danner, F. J. (1995). Cigarette smoling and sleep disturbance. Arch Intern Med, 155:734-737.
24. Poelstra, P. A. M. (1984). Relationship between physical, psychological, social, and environmental variables and subjective sleep quality. Sleep, 7(3):255-260.
25. Pyzdek, T. and Keller, P. (2014). The Six Sigma Handbook. McGraw-Hill Education, 4 edition.
26. ReVelle, J. B. (2004). Quality Essentials: A Reference Guide from A to Z. ASQ Quality Press.
27. Shuttleworth, M. (viewed on 31 July, 2014). Design of experiment. Available online at https://explorable.com/design-of-experiment.
28. Stepnowsky, C. J., J., M. P., and Dimsdale, J. E. (2003). Effect of ethnicity on sleep: complexities for epidemiologic research. Sleep, 26(3):329-332.
29. Stieber, J. (2005). Preventive health care in australia: The shape of the elephant, reliance on evidence, and comparisons to U.S. medicare.
30. Swan, M. (2013). The quantified self: fundamental disruption in big data science and biological discovery. Big Data, 1(2):85-99.
31. Thomas, R. J. (2012). Seeking useful biomarkers for the quality and effectiveness of sleep. Sleep, 35(2):173-174.
32. Utts, J. M. (2005). Seeing Through Statistics. Thomson Brooks, 3 edition.
33. Vitiello, M. V., and Larsen., L. H., and Moe, K. E. (2004). Agerelated sleep change: Gender and estrogen effects on the subjectiveobjective sleep quality relationships of healthy, noncomplaining older men and women. Journal of Psychosomatic Research, 56(5):503-510.
34. Whittaker, R., Merry, S., Dorey, E., and Maddison, R. (2012). A development and evaluation process for mhealth interventions: examples from new zealand. J Health Commun, 17(Suppl 1):11-21.
35. WHO (2011). The top 10 causes of death.