Using reality mining to improve public health and medicine

Studies in Health Technology and Informatics

Volumn 149, Issue , 2009, Pages 93-102

  Pentland, Alex ^a   Lazer, David ^b   Brewer, Devon ^c   Heibeck, Tracy ^d  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^b HARVARD UNIVERSITY   (United States)

^c Interdisciplinary Scientific Research   (United States)

^d NONE

Author keywords

[No Author keywords available]

Indexed keywords

CELLULAR TELEPHONES; DATA ACQUISITION; DATA MINING; DATA PRIVACY; DIAGNOSIS; DIGITAL STORAGE; DISEASE CONTROL; HEALTH RISKS; INFORMATION DISSEMINATION; LEARNING SYSTEMS; MHEALTH; MOBILE DEVICES; MOBILE PHONES; PATIENT TREATMENT; PERSONAL COMPUTERS; PUBLIC HEALTH; RADIO FREQUENCY IDENTIFICATION (RFID); SMART CARDS; TELEPHONE SETS;

CHIEF TECHNOLOGY OFFICERS; COMPUTATIONAL MODEL; DATA MINING ALGORITHM; EMERGING TECHNOLOGIES; MACHINE LEARNING METHODS; MOBILE PHONE SERVICES; PERSONAL INFORMATION; TREATMENT MONITORING;

CELLULAR TELEPHONE SYSTEMS;

EID: 71749113097     PISSN: 09269630     EISSN: 18798365     Source Type: Book Series    
DOI: 10.3233/978-1-60750-050-6-93     Document Type: Conference Paper

References (19)

1. Greene, Kate. April, 2008. Emerging technologies 2008: Reality mining. Technology Review, 111 (2), 54-56.
2. Stoltzman, W. 2006. Toward a social signaling framework: Activity and emphasis in speech. Master's thesis, MIT EECS.
3. Sung, A., Marci, C., and Pentland, A. 2005. Objective physiological and behavioral measure for tracking depression. Technical Report 595, MIT Media Lab. http://hd.media.mit.edu
4. France, D., et al. July, 2000. Acoustical properties of speech as indicators of depression and suicidal risk. IEEE Trans. Biomedical Eng., 829-837.
5. Jaffee, J., Beebe, B., Feldstein, S., Crown, C., and Jasnow, M. 2001. Rhythms of dialogue in early infancy. Monographs of the Society for Research in Child Development, 66(2): 264.
6. Chartrand, T., and Bargh, J. 1999. The chameleon effect: The perception-behavior link and social interaction. J. Personality and Social Psychology, 76(6): 893-910.
7. Bailenson, J., and Yee, N. 2005. Digital chameleons: Automatic assimilation of nonverbal gestures in immersive virtual environments. Psychological Science, 16(10): 814-819.
8. Teicher, M.H. 1995. Actigraphy and motion analysis: New tools for psychiatry. Harvard Rev. Psychiatry, (3): 18-35.
9. Klapper, D. 2003. Use of a wearable ambulatory monitor in the classification of movement states in Parkinson's Disease. Master's thesis, Harvard-MIT Health Sciences and Technology Program.
10. Pentland, A., and Heibeck, T. 2008. Honest signals: How they shape your world. MIT Press, Cambridge, MA.
11. Eagle, N., and Pentland, A. 2006. Reality mining: Sensing complex social systems. Personal and Ubiquitous Computing, 10(4): 255-268.
12. Eagle, N., Lazer, D., and Pentland, A. 2007. Inferring friendship from proximity, unpublished manuscript.
13. Dong, W., and Pentland, A. 2007. Modeling influence between experts. Lecture Notes on AI: Special Volume on Human Computing, 4451: 170-189.
14. Pentland, A. 2007. Automatic mapping and modeling of human networks. Physica A: Statistical Mechanics and Its Applications, 378(1): 59-67.
15. Sense Networks, 2008. http://www.sensenetworks.com
16. Christakis, N., and Fowler, J. 2007. The spread of obesity in a large social network over 32 years. New England Journal of Medicine, 357: 370-379.
17. Christakis, N., and Fowler, J. 2008. The collective dynamics of smoking in a large social network. New England Journal of Medicine, 358: 2249-2258.
18. Gonzalez, M., Hidalgo, C., and Barabasi, A.L. June 5, 2008. Understanding individual human mobility patterns. Nature, 453, 779-782.
19. Rand Corporation, 2004. http://www.rand.org/pubs/research-briefs/RB9055/ index1.html