Method for predicting gout based on food nutrients

A nutrient and gout technology, applied in the field of gout prediction model based on artificial neural network, can solve problems such as the impact on normal life

Inactive Publication Date: 2018-02-27
TIANJIN UNIV
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Problems solved by technology

At present, the main focus of research on gout in China is post-injury treatment. However, although gout can be cured, it is very difficult; and even if cured, gout patient

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  • Method for predicting gout based on food nutrients

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Embodiment Construction

[0012] People take food every day to maintain life, but what really affects the human body is the various nutrients contained in the food. The food nutrient database established by ourselves in this method contains information on various nutrients contained in various foods. Nutrients There are more than 100 kinds of gout; at present, gout has been proved to be closely related to daily diet, and some main foods that cause gout have also been proved. The medical achievements of some advanced countries, for example, the medical professor of Harvard University in the United States passed 12 According to the collation and research of the American diet questionnaire in the past year, the probability of suffering from gout caused by the different quantities of a large amount of food intake is different, which provides theoretical guidance and research basis for the research of the present invention; The linear fitting ability can map any complex nonlinear relationship, and the learni...

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Abstract

The invention discloses a method for predicting gout based on food nutrients. The method comprises the steps of 1, obtaining diet data of a user in recent two weeks; 2, converting the user's diet datainto nutrient data through a food database and a food nutrient database; 3, inputting the nutrient data into a gout prediction model based on an artificial neural network; 4, processing the nutrientdata on the basis of the gout prediction model built by the artificial neural network, and obtaining the danger coefficient that the user suffers from gout. On the basis of the user's body and diet habits, by means of data monitoring and artificial intelligent analysis, gout risk analysis and prediction are performed in a pointed mode, and scientific references are provided for the user for adjusting the diet structure so as to avoid gout hazards.

Description

technical field [0001] The invention relates to various fields such as medicine, machine learning, big data, etc., especially a gout prediction model based on artificial neural network. Background technique [0002] Machine Learning (ML) is a multi-field interdisciplinary subject, involving probability theory, statistics, approximation theory, convex analysis, algorithm complexity theory and other disciplines. It is dedicated to studying how to change the system's own performance through computing means and experience. Therefore, the main content of machine learning research is the algorithm for generating models from data, that is, learning algorithms. Artificial neural network is an algorithm in machine learning, which abstracts the human brain neuron network from the perspective of information processing and establishes a simple model. A neural network is regarded as a mathematical model containing many parameters, obtained by substituting several functions into each oth...

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Application Information

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IPC IPC(8): G16H50/20G16H20/60
Inventor 刘昱蒋淮
Owner TIANJIN UNIV
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