Method for customizing diet nourishing model based on artificial intelligence self-adaptive individual physical signs
An artificial intelligence and self-adaptive technology, applied in nutrition control, health index calculation, medical informatics, etc., can solve problems such as troublesome operation, and achieve the effect of ensuring correctness, simplifying calculation amount, reducing calculation amount and power consumption
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[0024] combine figure 2 and image 3 , the "tailor-made" diet nourishing model method based on artificial intelligence adaptive individual signs includes the following steps:
[0025] 1) Determination of input factors: input factors include static features and dynamic features. Static features include: age, gender, height, weight, menstrual cycle, and chronic diseases; dynamic features include: season, climate, solar terms.
[0026] 2) The overall crowd object portrait conditioning model, when it is used for the first time and the most suitable "individual physique portrait diet conditioning model" is not formed, use the "overall crowd object portrait conditioning model", that is, according to the doctor.
[0027] Suggested dietary management adjustments;
[0028] 3) Adjustment model of individual physique portrait characteristics; because each person has specific user portrait information such as age, weight, gender, and chronic disease history, and each individual has it...
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