Insights from machine-learned diet success prediction

Insights from machine-learned diet success prediction

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...

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Bibliographic Details
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
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Institution: Singapore Management University
Language: English

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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

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