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Title:
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A STUDY ON CASE-BASED PLANNING USING ONTOLOGY FOR CANCER DIETARY RECOMMENDATION |
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Author(s):
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Hea Choon Ngo, Yu-N Cheah, Nasriah Zakaria |
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ISBN:
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978-989-8533-14-2 |
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Editors:
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Hans Weghorn and Pedro Isaías |
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Year:
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2012 |
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Edition:
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Single |
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Keywords:
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Planning, Ontology, Diet Recommendation, Constraints, Case-Based Reasoning, Genetic Algorithms |
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Type:
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Short Paper |
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First Page:
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395 |
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Last Page:
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399 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Cancer is one of the top health issues in Malaysia. Proper nutrition for patients undergoing cancer treatment is important to enhance recovery. Nowadays, there are many diet recommendation systems in the market that provide general advice to the patients with cancer. These systems are still lacking to provide custom-built diet plan based on the patients health record. Personalized diet recommendations could solve this problem. This paper presents a study on case-based planning using ontology for diet recommendation for patients with cancer. Ontology is used to model the personal information of the patient and food database. Case-based Reasoning (CBR) is adapted to suggest a diet plan from the diet cases (case library). Genetic algorithm is then employed to ensure that the constructed menu is personalized to the health condition and constraint. The proposed work aims to (i) produce a diet plan representation based on diet plan ontology; (ii) design a case-based planning engine using genetic algorithms; (iii) evaluate the diet recommendations approach. |
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