Characterisation of knowledge incorporation into solution models for the meal planning problem

Ngonidzashe Zanamwe; Kudakwashe Dube; Jasmine S. Thomson; Fredrick J. Mtenzi; Gilford T. Hapanyengwi

doi:10.1007/978-3-642-53956-5_17

Characterisation of knowledge incorporation into solution models for the meal planning problem

Ngonidzashe Zanamwe, Kudakwashe Dube, Jasmine S. Thomson, Fredrick J. Mtenzi, Gilford T. Hapanyengwi

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

This paper is part of work aimed at investigating an approach to knowledge incorporation into solution models of the Meal Planning Problem (MPP) for use in mobile web-based HIV/AIDS nutrition therapy management within the context of developing countries, particularly, in Sub-Saharan Africa. This paper presents a characterisation of the incorporation of knowledge into the models for the MPP. The characterisation is important for assessing the extent to which MPP models can be adapted for use in different clinical problems with different nutrition guideline knowledge and in different regions of the world with differently customised versions of the guidelines. The characterisation was applied to thirty one works in the literature on MPP models. The main outcome of the application of the characterisation was the finding that the existing MPP models do not provide for the incorporation of nutrition guideline knowledge as first class concepts with identifiable and manageable structures, which makes almost impossible the transfer of knowledge from health experts to patients and from one region of the world to another.

Original language	English
Title of host publication	Foundations of Health Information Engineering and Systems - 3rd International Symposium, FHIES 2013, Revised Selected Papers
Editors	Jeremy Gibbons, Wendy MacCaull
Publisher	Springer Verlag
Pages	254-273
Number of pages	20
ISBN (Electronic)	9783642539558
DOIs	https://doi.org/10.1007/978-3-642-53956-5_17
Publication status	Published - 2014
Externally published	Yes
Event	3rd International Symposium on Foundations of Health Information Engineering and Systems, FHIES 2013 - Macau, China Duration: 21 Aug 2013 → 23 Aug 2013

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	8315
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	3rd International Symposium on Foundations of Health Information Engineering and Systems, FHIES 2013
Country/Territory	China
City	Macau
Period	21/08/13 → 23/08/13

Keywords

Algorithms
Constraint satisfaction
Evolutionary computing
Genetic algorithm
HIV/AIDS
Knapsack problem
Knowledge engineering
Linear programming
Meal planning
Modelling
Nutrition guideline
Nutrition therapy
Optimisation problem
Particle swarm optimisation

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-642-53956-5_17

Cite this

Zanamwe, N., Dube, K., Thomson, J. S., Mtenzi, F. J., & Hapanyengwi, G. T. (2014). Characterisation of knowledge incorporation into solution models for the meal planning problem. In J. Gibbons, & W. MacCaull (Eds.), Foundations of Health Information Engineering and Systems - 3rd International Symposium, FHIES 2013, Revised Selected Papers (pp. 254-273). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8315). Springer Verlag. https://doi.org/10.1007/978-3-642-53956-5_17

Zanamwe, Ngonidzashe ; Dube, Kudakwashe ; Thomson, Jasmine S. et al. / Characterisation of knowledge incorporation into solution models for the meal planning problem. Foundations of Health Information Engineering and Systems - 3rd International Symposium, FHIES 2013, Revised Selected Papers. editor / Jeremy Gibbons ; Wendy MacCaull. Springer Verlag, 2014. pp. 254-273 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Characterisation of knowledge incorporation into solution models for the meal planning problem",

abstract = "This paper is part of work aimed at investigating an approach to knowledge incorporation into solution models of the Meal Planning Problem (MPP) for use in mobile web-based HIV/AIDS nutrition therapy management within the context of developing countries, particularly, in Sub-Saharan Africa. This paper presents a characterisation of the incorporation of knowledge into the models for the MPP. The characterisation is important for assessing the extent to which MPP models can be adapted for use in different clinical problems with different nutrition guideline knowledge and in different regions of the world with differently customised versions of the guidelines. The characterisation was applied to thirty one works in the literature on MPP models. The main outcome of the application of the characterisation was the finding that the existing MPP models do not provide for the incorporation of nutrition guideline knowledge as first class concepts with identifiable and manageable structures, which makes almost impossible the transfer of knowledge from health experts to patients and from one region of the world to another.",

keywords = "Algorithms, Constraint satisfaction, Evolutionary computing, Genetic algorithm, HIV/AIDS, Knapsack problem, Knowledge engineering, Linear programming, Meal planning, Modelling, Nutrition guideline, Nutrition therapy, Optimisation problem, Particle swarm optimisation",

author = "Ngonidzashe Zanamwe and Kudakwashe Dube and Thomson, {Jasmine S.} and Mtenzi, {Fredrick J.} and Hapanyengwi, {Gilford T.}",

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Zanamwe, N, Dube, K, Thomson, JS, Mtenzi, FJ & Hapanyengwi, GT 2014, Characterisation of knowledge incorporation into solution models for the meal planning problem. in J Gibbons & W MacCaull (eds), Foundations of Health Information Engineering and Systems - 3rd International Symposium, FHIES 2013, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8315, Springer Verlag, pp. 254-273, 3rd International Symposium on Foundations of Health Information Engineering and Systems, FHIES 2013, Macau, China, 21/08/13. https://doi.org/10.1007/978-3-642-53956-5_17

Characterisation of knowledge incorporation into solution models for the meal planning problem. / Zanamwe, Ngonidzashe; Dube, Kudakwashe; Thomson, Jasmine S. et al.
Foundations of Health Information Engineering and Systems - 3rd International Symposium, FHIES 2013, Revised Selected Papers. ed. / Jeremy Gibbons; Wendy MacCaull. Springer Verlag, 2014. p. 254-273 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8315).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Zanamwe, Ngonidzashe

AU - Dube, Kudakwashe

AU - Thomson, Jasmine S.

AU - Mtenzi, Fredrick J.

AU - Hapanyengwi, Gilford T.

N1 - Publisher Copyright: © Springer-Verlag Berlin Heidelberg 2014.

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Y1 - 2014

N2 - This paper is part of work aimed at investigating an approach to knowledge incorporation into solution models of the Meal Planning Problem (MPP) for use in mobile web-based HIV/AIDS nutrition therapy management within the context of developing countries, particularly, in Sub-Saharan Africa. This paper presents a characterisation of the incorporation of knowledge into the models for the MPP. The characterisation is important for assessing the extent to which MPP models can be adapted for use in different clinical problems with different nutrition guideline knowledge and in different regions of the world with differently customised versions of the guidelines. The characterisation was applied to thirty one works in the literature on MPP models. The main outcome of the application of the characterisation was the finding that the existing MPP models do not provide for the incorporation of nutrition guideline knowledge as first class concepts with identifiable and manageable structures, which makes almost impossible the transfer of knowledge from health experts to patients and from one region of the world to another.

AB - This paper is part of work aimed at investigating an approach to knowledge incorporation into solution models of the Meal Planning Problem (MPP) for use in mobile web-based HIV/AIDS nutrition therapy management within the context of developing countries, particularly, in Sub-Saharan Africa. This paper presents a characterisation of the incorporation of knowledge into the models for the MPP. The characterisation is important for assessing the extent to which MPP models can be adapted for use in different clinical problems with different nutrition guideline knowledge and in different regions of the world with differently customised versions of the guidelines. The characterisation was applied to thirty one works in the literature on MPP models. The main outcome of the application of the characterisation was the finding that the existing MPP models do not provide for the incorporation of nutrition guideline knowledge as first class concepts with identifiable and manageable structures, which makes almost impossible the transfer of knowledge from health experts to patients and from one region of the world to another.

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Zanamwe N, Dube K, Thomson JS, Mtenzi FJ, Hapanyengwi GT. Characterisation of knowledge incorporation into solution models for the meal planning problem. In Gibbons J, MacCaull W, editors, Foundations of Health Information Engineering and Systems - 3rd International Symposium, FHIES 2013, Revised Selected Papers. Springer Verlag. 2014. p. 254-273. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-53956-5_17

Characterisation of knowledge incorporation into solution models for the meal planning problem

Abstract

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Conference

Keywords

UN SDGs

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