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 124,988 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

In this paper, we describe the Technology Assisted Dietary Assessment (TADA) project at Purdue University. Dietary intake, what someone eats during the course of a day, provides valuable insights for mounting intervention programs for prevention of many chronic diseases such as obesity and cancer. Accurate methods and tools to assess food and nutrient intake are essential for research on the association between diet and health. An overview of our methods used in the TADA project is presented. Our approach includes the use of image analysis tools for identification and quantification of food that is consumed at a meal. Images obtained before and after foods are eaten are used to estimate the amount and type of food consumed.
ISM 2010
PMID:An Overview of The Technology Assisted Dietary Assessment Project at Purdue University. 2202 Apr 43

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.
ISM 2011
PMID:Temporal Dietary Patterns Using Kernel k-Means Clustering. 2525 45

Many chronic diseases, such as heart disease, diabetes, and obesity, can be related to diet. Hence, the need to accurately measure diet becomes imperative. We are developing image analysis tools for the identification and quantification of foods consumed at a meal. Our system relies on a single meal image from the user for doing food identification and quantity estimation. Therefore, it is very important to assist the user in acquiring a good quality image by providing immediate feedback about the image quality. This paper presents low complexity image quality measures which are deployed on handheld mobile devices.
ISM 2011 Dec
PMID:Low Complexity Image Quality Measures for Dietary Assessment Using Mobile Devices. 2857 56