Characterisation of Knowledge Incorporation into Solution Models for the Meal Planning Problem

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

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

Cited by 3 publications

(5 citation statements)

References 25 publications

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Section: Related Workmentioning

confidence: 99%

“…The third and last arose from the work of the authors of this paper [39]. It classifies solutions depending on whether they are based on nutrition, mathematical, computational or hybrid model [39]. Nutrition models are problem-specific and are usually embodied in a nutrition guideline and tend to be mapped onto either the mathematical or computational model, or both.…”

Section: Related Workmentioning

confidence: 99%

“…Solution Models for the MPP The FNTGs are incorporated into solution models for the MPP according to the level of generality or specificity of the knowledge with respect to the target population. Table II shows that knowledge is incorporated into solution models at four levels, namely, L0, L1, L2 and L3 [39]. L3 incorporates highly-targeted knowledge.…”

Section: Framework For Managing Knowledge Incorporated Into Solutimentioning

confidence: 99%

“…These solutions differ but can be characterised by the framework used in modelling the MPP and the extent to which they incorporate different types of knowledge. Recently, three ways for the classification of solution models [7, 38, 39] for the MPP have emerged in literature.…”

Section: Related Workmentioning

confidence: 99%

See 3 more Smart Citations

Managing Knowledge in Computational Models for Global Food, Nutrition and Health Technologies

Dube¹,

McLachlan²,

Zanamwe³

et al. 2020

Preprint

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Computational models that need to incorporate domain knowledge for realistic solutions to problems often lead to technologies that get transferred to developing countries. The support for managing the knowledge incorporated into these technologies is important for customisation to suit local conditions. This work investigates this problem through the challenge of incorporating food and nutrition therapy guidelines (FNTG) into ICT-based solution models for the meal planning problem (MPP) for HIV/AIDS patients in developing countries. An experiment is undertaken to demonstrate the limitations of existing approaches and framework is investigated for manageable incorporation of knowledge into solution models. The paper contributes a clear understanding of, and directions for addressing, the problem of support for managing the knowledge incorporated into solutions models to support customisability of technologies. The significance of this contribution is that solutions will allow resulting technologies to be customised for use in different global contexts.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Framework For Managing Knowledge Incorporated Into Solutimentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

See 2 more Smart Citations

Managing Knowledge in Computational Models for Global Food, Nutrition and Health Technologies

Dube¹,

McLachlan²,

Zanamwe³

et al. 2020

Preprint

Self Cite

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show abstract

“…In this work, knowledge is a dimension with four elements [10] presented in Table 1. Knowledge incorporated into a GA is manageable if the knowledge is HTK and if operations in Table 2 can be applied to the knowledge and solution.…”

Section: Motivations Context and Conceptsmentioning

confidence: 99%

Manageability Challenges for Knowledge Incorporation in Genetic Algorithms: A Study Using the Meal Planning Problem

Zanamwe¹,

Dube²,

Thomson³

2018

Proceedings of the EAI International Conference for Research, Innovation and Development for Africa

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This work investigates manageability challenges for knowledge incorporation in Genetic Algorithms (GAs) for solving the Meal Planning Problem (MPP). The MPP is an intractable problem with optimal solution models in literature leading to solutions that are hard to manage from the knowledge perspective. Manageable incorporation of knowledge into computational models for the MPP will help dietitians in nutrition-based disease therapy administration thereby improving the health of patients. An experimental study implementing a genetic model for the MPP was used to investigate the manageability challenges. The findings were that GAs do not have natural ways of supporting manageable incorporation of knowledge and knowledge incorporated into GAs using existing methods is hard to manage. Manageability is important because knowledge and models become easy to customize to suit different contexts. The novel contribution of this work is a new understanding on the matter of "manageability".

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Managing Knowledge in Computational Models for Global Food, Nutrition and Health Technologies

Dube

McLachlan

Zanamwe

et al. 2020

2020 IEEE Global Humanitarian Technology Conference (GHTC)

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Characterisation of Knowledge Incorporation into Solution Models for the Meal Planning Problem

Cited by 3 publications

References 25 publications

Managing Knowledge in Computational Models for Global Food, Nutrition and Health Technologies

Managing Knowledge in Computational Models for Global Food, Nutrition and Health Technologies

Manageability Challenges for Knowledge Incorporation in Genetic Algorithms: A Study Using the Meal Planning Problem

Managing Knowledge in Computational Models for Global Food, Nutrition and Health Technologies

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