The use of crowdsourcing for dietary self-monitoring: Crowdsourced ratings of food pictures are comparable to ratings by trained observers

Journal of the American Medical Informatics Association

Volumn 22, Issue e1, 2014, Pages e112-e119

  Turner McGrievy, Gabrielle M ^a   Helander, Elina E ^b   Kaipainen, Kirsikka ^c   Perez Macias, Jose Maria ^b   Korhonen, Ilkka ^b,c  

^a UNIVERSITY OF SOUTH CAROLINA   (United States)

^b TAMPERE UNIVERSITY OF TECHNOLOGY   (Finland)

^c VTT TECHNICAL RESEARCH CENTRE OF FINLAND   (Finland)

Author keywords

Crowdsourcing; Diet; Mobile health; Self monitoring; Technology

Indexed keywords

CATERING SERVICE; CHEESE; CROWDSOURCING; DIET; FAST FOOD; FRUIT VEGETABLE; GENETIC POLYMORPHISM; HUMAN; LEGUME; MAJOR CLINICAL STUDY; MOBILE APPLICATION; NONHUMAN; NUT; PLANT SEED; PRACTICE GUIDELINE; RATING SCALE; RED MEAT; REFINED GRAIN; SAVORY; SELF MONITORING; STATISTICAL MODEL; SUGAR-SWEETENED BEVERAGE; WHOLE GRAIN; BEVERAGE; FOOD; PHOTOGRAPHY; SELF CARE;

BEVERAGES; CROWDSOURCING; DIET; FOOD; HUMANS; LINEAR MODELS; MOBILE APPLICATIONS; PHOTOGRAPHY; SELF CARE;

EID: 84905317224     PISSN: 10675027     EISSN: 1527974X     Source Type: Journal    
DOI: 10.1136/amiajnl-2014-002636     Document Type: Article

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