Work

Temporal Dietary Patterns Using Kernel k-Means Clustering

Year: 2011

Type: conference-paper

Abstract: Chronic diseases, such as heart disease, diabetes, and obesity, have been linked with diet. Nutrient intake is also associated with diet. However, much of the research completed to elucidate these associations has not incorporated the concept of time. This paper introduces the concept of temporal dietary patterns and demonstrates a novel construct of 24-hour temporal dietary patterns for energy intake, present in a sample of the adult U.S. population 20 years and older (NHANES 1999-2004 dataset). An appropriate distance metric is proposed for comparing 24-hour diet records and is used with kernel k-means clustering to identify the temporal dietary patterns.

Source: IEEE International Symposium on Multimedia (ISM)

DOI: 10.1109/ism.2011.68

Authors: Nitin Khanna, Heather A. Eicher-Miller, Carol J. Boushey, Saul B. Gelfand, Edward J. Delp

Institutions: Purdue University West Lafayette, University of Hawaii Cancer Center

Language: English

Topic: Nutritional Studies and Diet

Subfield: Public Health, Environmental and Occupational Health

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W1970215811

FWCI:

Cites: 14

Cited by: 26

Related to: 10