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Basal Metabolic Rate (BMR) estimation using Probabilistic Graphical Models
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Statistics.
2019 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Obesity is a growing problem globally. Currently 2.3 billion adults are overweight, and this number is rising. The most common method for weight loss is calorie counting, in which to lose weight a person should be in a calorie deficit. Basal Metabolic Rate accounts for the majority of calories a person burns in a day and it is therefore a major contributor to accurate calorie counting. This paper uses a Dynamic Bayesian Network to estimate Basal Metabolic Rate (BMR) for a sample of 219 individuals from all Body Mass Index (BMI) categories. The data was collected through the Lifesum app. A comparison of the estimated BMR values was made with the commonly used Harris Benedict equation, finding that food journaling is a sufficient method to estimate BMR. Next day weight prediction was also computed based on the estimated BMR. The results stated that the Harris Benedict equation produced more accurate predictions than the metabolic model proposed, therefore more work is necessary to find a model that accurately estimates BMR.

Place, publisher, year, edition, pages
2019.
Keywords [en]
Basal Metabolic Rate, Resting Metabolic Rate, Dynamic Bayesian Networks, Temporal Models, Food Tracking, Calories, Obesity, Pymc3, Probabilistic Programming
National Category
Probability Theory and Statistics
Identifiers
URN: urn:nbn:se:uu:diva-384629OAI: oai:DiVA.org:uu-384629DiVA, id: diva2:1321159
Subject / course
Statistics
Educational program
Master Programme in Statistics
Presentation
2019-06-04, B105, Ekonomikum, Uppsala, 10:22 (English)
Supervisors
Examiners
Available from: 2019-06-18 Created: 2019-06-07 Last updated: 2019-06-18Bibliographically approved

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
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  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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  • Other locale
More languages
Output format
  • html
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