Now showing items 1-7 of 7
Teeth and heavyset kids: Intervention similarities between childhood obesity and oral health interventions within Native American societies
(Utah State University, 2014-03)
Dental related disease is an increasing concern among minority and vulnerable populations and as a result a growing number of oral health interventions are emerging for ethnic minority populations, including Indigenous, ...
Preventing dentures and putting aside the fry bread: A systematic review of micro, mezzo, and macro conditions for dental health and obesity interventions for Native American youth
(University of Hawaii, 2014-08)
This systematic literature review was focused on childhood obesity and dental health interventions which have relevance to Native American communities. Childhood oral health and obesity have become significant problems ...
Procedures for the precise analysis of massive textual databases.
Unsupervised Artificial Neural Networks have been used in the analysis of text. In general, they provide richer, deeper and more finely detailed clusters than co-occurrence models because of their ability to consider ...
An investigation of the role of an on-site library in the provision of adjunct bibliotherapeutic treatment for emotionally disturbed youth.
Using a mixed methods approach, this three-phase research study will investigate the role of a professionally staffed, on-site library in the treatment of emotionally disturbed children and adolescents who are residents ...
A non-hierarchical neural network approach for analyzing textual data. (Poster)
Artificial neural networks excel at recognizing patterns in textual data. Its pattern recognition capability allows a neural network engine to assign weights representing the multiple connections among concepts. These ...
Artificial neural networks for pattern recognition in multilingual text. (Poster)
Neural networks are able to discover patterns in data; it need not be textual data. When a neural network is used to analyze textual data, however, it does not need grammar, heuristics, parsing or other linguistic artifacts ...