Comparison of machine learning algorithms to predict psychological wellness indices for ubiquitous healthcare system design

Proceedings of the 2014 International Conference on Innovative Design and Manufacturing, ICIDM 2014

Volumn , Issue , 2014, Pages 263-269

  Park, Junheung ^a   Kim, Kyoung Yun ^a   Kwon, Ohbyung ^b  

^a WAYNE STATE UNIVERSITY   (United States)

^b Kyung Hee University   (South Korea)

Author keywords

Healthcare system design; Machine learning; Psychological wellness index; Ubiquitous healthcare

Indexed keywords

HEALTH CARE; LEARNING SYSTEMS; MACHINE LEARNING; MULTILAYER NEURAL NETWORKS; NEAREST NEIGHBOR SEARCH; SUPPORT VECTOR REGRESSION; SURVEYS; SYSTEMS ANALYSIS;

DATA INCONSISTENCIES; GENERALIZED REGRESSION NEURAL NETWORKS; HEALTH-CARE SYSTEM; MULTI LAYER PERCEPTRON; MULTIPLE REGRESSION METHODS; PSYCHOLOGICAL WELLNESS INDEX; UBIQUITOUS HEALTH CARE; UBIQUITOUS HEALTHCARE SYSTEM;

LEARNING ALGORITHMS;

EID: 84908622665     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IDAM.2014.6912705     Document Type: Conference Paper

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