The role of computational, multiscale models in behavioral informatics

Author

Pavel, Misha

Author_Institution

Tampere Tech. Univ., Tampere, Finland

fYear

2014

fDate

1-4 June 2014

Firstpage

813

Lastpage

816

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical and Health Informatics (BHI), 2014 IEEE-EMBS International Conference on

Conference_Location

Valencia

Type

conf

DOI

10.1109/BHI.2014.6864488

Filename

6864488

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1767217