Use of Natural Spoken Language With Automated Mapping of Self-reported Food Intake to Food Composition Data for Low-Burden Real-time Dietary Assessment: Method Comparison Study
Use of Natural Spoken Language With Automated Mapping of Self-reported Food Intake to Food Composition Data for Low-Burden Real-time Dietary Assessment: Method Comparison Study
Salima Taylor
1
* , MS ;
Mandy Korpusik
2
* , PhD ;
Sai Das
1
, PhD ;
Cheryl Gilhooly
1
, PhD ;
Ryan Simpson
3
, MS ;
James Glass
2
, PhD ;
Susan Roberts
1
, PhD
1
Jean Mayer United States Department of Agriculture Human Nutrition Research Center on Aging, Tufts University, Boston, MA, United States
2
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, United States
3
Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, United States
*these authors contributed equally
Corresponding Author:
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Susan Roberts, PhD
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Jean Mayer United States Department of Agriculture Human Nutrition Research Center on Aging
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Tufts University
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711 Washington Street
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Boston, MA, 02111
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United States
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Phone:
1 617-556-3238
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Email: susan.roberts@tufts.edu