Food-disease association prediction method based on disease weighting and food category constraints

A technology of food category and prediction method, applied in the field of food safety, to achieve the effect of improving accuracy, reducing consumption, and overcoming the problem of sparseness

Active Publication Date: 2019-02-01
TIANJIN UNIV OF SCI & TECH
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  • Description
  • Claims
  • Application Information

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Problems solved by technology

Currently, there are no high-confidence, instructional predictive methods for broad food-disease associations

Method used

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  • Food-disease association prediction method based on disease weighting and food category constraints
  • Food-disease association prediction method based on disease weighting and food category constraints
  • Food-disease association prediction method based on disease weighting and food category constraints

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Embodiment Construction

[0046] Embodiments of the present invention will be described in further detail below in conjunction with the accompanying drawings.

[0047] The design concept of the present invention is: in the field of nutrition and food safety, using the matrix decomposition and semantic space theory and technology in machine learning, taking food-disease association matrix decomposition as the basic framework, introducing the weighted relationship contained in the disease classification level and the weighted relationship of food Group information of these two kinds of prior knowledge information. The present invention does not consider the food-borne diseases caused by pathogenic factors, and is based on the following two assumptions: (1) the diseases in the higher-level categories in the classification list have more abstract meanings; the diseases in the lower-level categories are more abstract; , the more specific the meaning it expresses. (2) Foods are classified into different gro...

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Abstract

The invention relates to a food-disease association prediction method based on disease weighting and food category constraints. The method comprises the following steps: a disease weighting relationship is constructed by using international disease classification data; a food similarity network is constructed by using an ingredient table; a food group relationship is constructed by using a food classification system, a known binary food-disease association network is constructed; the representation of the food and the disease in potential space is randomly initialized; the disease weighting relationship and the food group relationship are introduced, and the representation of the food and the disease in potential space is learnt; and by using the representation of the food and the diseasein potential space, a food and disease association predicting result is outputted. The design is reasonable, the sparse problem of food and disease association data is overcome, the accuracy of the food and disease association predicting model is enhanced, and besides, the model calculation time complexity and the food number in the food group form a linear relationship, the calculation complexityis reduced, and consumption of calculation resources is reduced.

Description

technical field [0001] The invention belongs to the technical field of food safety, in particular to a food-disease association prediction method based on disease weighting and food category constraints. Background technique [0002] With the improvement of residents' consumption ability and health awareness, people are no longer satisfied with the basic material needs of life, but have higher and higher requirements for quality of life and healthy life. Prominent among these is the growing need for healthy eating guidelines. Studies have confirmed that diet has a close relationship with the occurrence and development of diseases. This relationship is usually surprising and far-reaching. For example, a diet based on animal food can lead to the occurrence of chronic diseases (such as obesity, coronary Heart disease, tumor, osteoporosis, etc.); a diet based on plant foods is the most beneficial to health, and it is also the most effective in preventing and controlling chronic...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/70G16H20/60
CPCG16H20/60G16H50/70
Inventor 王嫄张耀功陈赠光王靖寰杨巨成赵青陈亚瑞孔娜王洁
Owner TIANJIN UNIV OF SCI & TECH
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