TY - GEN
T1 - The role of computational, multiscale models in behavioral informatics
AU - Pavel, Misha
PY - 2014
Y1 - 2014
N2 - This presentation describes the use of computational, predictive models in behavioral informatics for monitoring, assessment, inference and modification of human behaviors. This ambitious goals is possible due to a confluence of advances in sensor network technology machine learning and data science. The approach is illustrated on a number of examples involving care for older adults.
AB - This presentation describes the use of computational, predictive models in behavioral informatics for monitoring, assessment, inference and modification of human behaviors. This ambitious goals is possible due to a confluence of advances in sensor network technology machine learning and data science. The approach is illustrated on a number of examples involving care for older adults.
UR - http://www.scopus.com/inward/record.url?scp=84906871954&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84906871954&partnerID=8YFLogxK
U2 - 10.1109/BHI.2014.6864488
DO - 10.1109/BHI.2014.6864488
M3 - Conference contribution
AN - SCOPUS:84906871954
SN - 9781479921317
T3 - 2014 IEEE-EMBS International Conference on Biomedical and Health Informatics, BHI 2014
SP - 813
EP - 816
BT - 2014 IEEE-EMBS International Conference on Biomedical and Health Informatics, BHI 2014
PB - IEEE Computer Society
T2 - 2014 IEEE-EMBS International Conference on Biomedical and Health Informatics, BHI 2014
Y2 - 1 June 2014 through 4 June 2014
ER -