Reactivity prediction model and modeling method of meal plan, electronic equipment
A prediction model and modeling method technology, applied in computational models, character and pattern recognition, machine learning, etc., can solve the problems of quantifying patient dietary information, extensive dietary plans, poor patient improvement effect, etc., and achieve the goal of improving the effect of dietary intervention. Effect
Active Publication Date: 2021-11-09
北京动亮健康科技有限公司
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Problems solved by technology
[0003] (1) The effect of the dietary plan is uncontrollable. Before prescribing the dietary plan, the doctor only knows that the dietary plan can improve the patient's metabolic condition, but it is not clear to what extent the dietary plan can improve
[0004] (2) The current dietary plan cannot be targeted. For patients with the same disease, the dietary plan prescribed by the doctor may be the same, but due to the differences in other conditions of the individual, the actual effect is different. With the same dietary regimen, some patients improve very well and some patients improve poorly
[0005] (3) The dietary plan is too extensive. According to the guidelines, doctors prescribe which foods users should eat and which foods they should not eat, and fail to quantify more dietary information of patients, such as fat, carbohydrates, sugar, caffeine, alcohol and other indicators and evaluate the impact of these dietary information on the intervention effect
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[0050] Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that the description of the invention will be thorough and complete and will fully convey the concept of example embodiments. communicated to those skilled in the art. The drawings are merely schematic illustrations of the invention and are not necessarily drawn to scale.
[0051] Furthermore, the described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided in order to give a thorough understanding of embodiments of the invention. However, those skilled in the art will appreciate that one or more of the specific details may be omitted in practicing the technical solution of th...
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The invention discloses a meal plan reactivity prediction model, a modeling method, and an electronic device. The modeling method of the meal plan reactivity prediction model includes the following steps: S101: collect training data and perform preprocessing, and the collection training The method of data preprocessing includes: collecting indicators and dietary information data of patients with metabolic diseases; obtaining the effect of dietary plan by evaluating the indicators of patients with metabolic diseases; and screening out significant influencing factors by analyzing the effect of dietary plan; S102: Setting XGBoost training Parameters; S103: The significant influencing factors and dietary information data are used as the input of the model, and the effect of the dietary plan is used as the output of the model, and the model is trained based on the XGBoost algorithm using the ten-fold cross-validation method; S104: Use the model trained in step S103 Make predictions. The predictive model established by the invention can assist doctors to form a more effective dietary plan and improve the effect of dietary intervention.
Description
technical field [0001] The invention relates to the fields of biomedical engineering technology and nutrition and health, in particular to a predictive model and a modeling method for the reactivity of a meal plan. Background technique [0002] The role of diet in the prevention and treatment of metabolic diseases cannot be ignored. Studies have shown that proper diet can improve blood sugar, blood pressure and blood lipids in metabolic diseases. However, the current dietary plan prescribed by doctors has the following problems: [0003] (1) The effect of the dietary plan is uncontrollable. Before prescribing the dietary plan, the doctor only knows that the dietary plan can improve the patient's metabolic condition, but it is not clear to what extent the dietary plan can improve. [0004] (2) The current dietary plan cannot be targeted. For patients with the same disease, the dietary plan prescribed by the doctor may be the same, but due to the differences in other conditio...
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IPC IPC(8): G16H20/60G06N20/00G06K9/62
CPCG16H20/60G06N20/00G06F18/214
Inventor 张永亮叶骏高向阳
Owner 北京动亮健康科技有限公司