Insights from machine-learned diet success prediction

• Main Authors: WEBER, Ingmar, ACHANANUPARP, Palakorn
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2016
• Subjects: Calorie counting; MyFitnessPal; Quantified self; Weight loss; Databases and Information Systems; Health Information Technology; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/4380; https://ink.library.smu.edu.sg/context/sis_research/article/5383/viewcontent/Insights_from_machine_learned_diet_success_prediction.pdf
• Institution: Singapore Management University

To support people trying to lose weight and stay healthy, more and more fitness apps have sprung up including the ability to track both calories intake and expenditure. Users of such apps are part of a wider “quantified self“ movement and many opt-in to publicly share their logged data. In this pape...