External application medicine determination method based on big data blood index
A definite method and big data technology, applied in medical data mining, medical formula, medicine or prescription, etc., can solve problems such as inability to care, poor metabolism of skin oil, and few, etc., to achieve targeted effects
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[0051] A method for determining externally applied medicine based on big data blood index, comprising the following steps:
[0052] Step 1: Big Data Analysis
[0053] Step 1.1 Blood big data input
[0054] Input blood big data from outside, the input data include: alanine aminotransferase, aspartate aminotransferase, total protein, albumin, high-density lipoprotein, low-density lipoprotein, very low-density lipoprotein, immunoglobulin, ferritin, alkaline Phosphatase, total bilirubin, creatinine, uric acid, uric acid nitrogen, triglycerides, serum magnesium, serum potassium, serum sodium, serum chloride, serum calcium, serum phosphorus, serum iron, carbon dioxide, carbon dioxide binding capacity, lactate dehydrogenase ,blood sugar.
[0055] Enter big data, standard values, or standard interval values for each metric. For example, assuming that each indicator has n input data, then take alanine aminotransferase as an example, input n data, and record them as A 1 -A n , an...
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