A personalized treatment plan recommendation method and system based on artificial intelligence

Abstract

The present invention provides a personalized treatment plan recommendation method and system based on artificial intelligence, which obtains patient disease data and patient basic data; uses a neural network to process the patient disease data to obtain therapeutic drugs, and screens the therapeutic drugs; obtains the dosage range of the therapeutic drugs according to the patient basic data; obtains rehabilitation indicators based on the patient disease data; uses the gray wolf optimization algorithm to optimize the dosage range based on the rehabilitation indicators, and obtains the patient's optimal medication dosage; determines the therapeutic drugs to be taken according to the disease suffered by the patient, and after screening the therapeutic drugs, obtains the dosage range of the therapeutic drugs and the rehabilitation indicators of the disease types respectively, and finally uses the gray wolf optimization algorithm to calculate the optimal medication dosage, so as to obtain the optimal dosage of the therapeutic drugs used to treat the patient's disease. Since the patient's own physical condition is taken into consideration, the absorption effect of the drugs can be guaranteed, and the normal progress of the disease treatment can be guaranteed.

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