Work

How are you feeling?: A personalized methodology for predicting mental states from temporally observable physical and behavioral information

Year: 2017

Type: article

Source: Journal of Biomedical Informatics

DOI: 10.1016/j.jbi.2017.02.010

Authors: Suppawong Tuarob, Conrad S. Tucker, Soundar Kumara, C. Lee Giles, Aaron L. Pincus, David E. Conroy, Nilam Ram

Institutions: Mahidol University, Pennsylvania State University, Northwestern University

Language: English

Topic: Time Series Analysis and Forecasting

Subfield: Signal Processing

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: bronze

Funders: University of Pennsylvania, Pennsylvania State University, Penn State Clinical and Translational Science Institute, Mahidol University, National Institutes of Health, National Institute on Aging, National Center for Advancing Translational Sciences, Eunice Kennedy Shriver National Institute of Child Health and Human Development

Awards: Penn State Clinical and Translational Science Institute, G2768134302, G4672106220, ARRA: Tools for Articulating Within-Person Dynamic Models of Interpersonal Intera, Toward a Unifying Model of Self-Regulation and its Development, G5232366676, G9000050448, Penn State Clinical and Translational Science Institute

OpenAlex ID: W2588946000

FWCI: 5.01

Cites: 125

Cited by: 41

Related to: 10