Chronic-disease personalized precise medication guiding method and system
A technology for precision medicine and chronic diseases, applied in the field of machine learning, can solve problems such as the limited role of doctors' guidance
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[0021] The method for instructing personalized and precise medication for chronic diseases in this embodiment includes:
[0022] Disassemble the factors that affect the efficacy, safety, economy, and tolerance of patients' medication;
[0023] Classify the characteristics of the population for each disassembled factor;
[0024] Refer to evidence-based medical materials to formulate unified quantitative standards for all factors, and then score the characteristics of different populations under different factors;
[0025] For an actual chronic disease patient, the population characteristics of each factor are characterized, and the corresponding mean value and suitability are calculated according to the corresponding scores, and the drugs with high curative effect and safety are obtained for the patient.
[0026] Further, the specific method for calculating the corresponding average value and suitability according to the corresponding scores includes: calculating the average v...
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