Statistical analysis of the Tanimoto coefficient self-organizing map (TCSOM) applied to health behavioral survey data

Author

Garavaglia, Susan B.

Author_Institution

Integrated Therapeutics Group, Schering-Plough Corp., Kenilworth, NJ, USA

Volume

4

fYear

2001

fDate

2001

Firstpage

2483

Abstract

The Tanimoto coefficient self-organizing map (TCSOM) introduced by Garavaglia (1998) is applied to self-reported data on dairy milk consumption to identify milk consumption patterns throughout a person´s life. The data are a cohort of US residents aged 66 and older. These results are merged with outcomes on self-reported osteoporosis and examination data on bone mineral density (BMD). For this cohort, lack of daily milk consumption as a child and irregular patterns of milk consumption appear to contribute to osteoporosis and low BMD later in life. Simple statistical analysis, including a z-test and several empirical distribution function (EDF) tests validate some of the self-organizing properties of the TCSOM. Density plots also illustrate the nonlinear grouping and self-organizing characteristics

Keywords

biology; medical computing; self-organising feature maps; statistical analysis; BMD; EDF tests; TCSOM; Tanimoto coefficient self-organizing map; bone mineral density; dairy milk consumption; empirical distribution function tests; health behavioral survey data; nonlinear grouping characteristics; osteoporosis; self-reported data; statistical analysis; z-test; Aging; Automatic testing; Bones; Dairy products; Distribution functions; Minerals; Organizing; Osteoporosis; Pediatrics; Statistical analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 2001. Proceedings. IJCNN '01. International Joint Conference on

Conference_Location

Washington, DC

ISSN

1098-7576

Print_ISBN

0-7803-7044-9

Type

conf

DOI

10.1109/IJCNN.2001.938757

Filename

938757