Title :
The role of computational, multiscale models in behavioral informatics
Author_Institution :
Tampere Tech. Univ., Tampere, Finland
Abstract :
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.
Keywords :
behavioural sciences computing; bioinformatics; geriatrics; learning (artificial intelligence); medical computing; patient care; patient monitoring; adult care; behavioral informatics; computational models; data science; human behavior assessment; human behavior inference; human behavior modification; human behavior monitoring; multiscale models; predictive models; sensor network technology machine learning;
Conference_Titel :
Biomedical and Health Informatics (BHI), 2014 IEEE-EMBS International Conference on
Conference_Location :
Valencia
DOI :
10.1109/BHI.2014.6864488