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2020 | OriginalPaper | Chapter

Diet Modelling: Combining Mathematical Programming Models with Data-Driven Methods

Authors : Ante Ivancic, Argyris Kanellopoulos, Johanna M. Geleijnse

Published in: Environmental Software Systems. Data Science in Action

Publisher: Springer International Publishing

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Abstract

Mathematical programming has been the principal workhorse behind most diet models since the 1940s. As a predominantly hypothesis-driven modelling paradigm, its structure is mostly defined by a priori information, i.e. expert knowledge. In this paper we consider two machine learning paradigms, and three instances thereof that could help leverage the readily available data and derive valuable insights for modelling healthier, and acceptable human diets.

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Metadata
Title
Diet Modelling: Combining Mathematical Programming Models with Data-Driven Methods
Authors
Ante Ivancic
Argyris Kanellopoulos
Johanna M. Geleijnse
Copyright Year
2020
Book
Environmental Software Systems. Data Science in Action

Print ISBN: 978-3-030-39814-9

Electronic ISBN: 978-3-030-39815-6

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-3-030-39815-6_7

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