The present application relates to the field of
drug recommendation, in particular to a tumor-targeting
drug recommendation method and
system, the method comprising the following steps: providing
gene expression information of a patient; obtaining a
cancer cell ratio by using the
gene expression information; determining a
target gene by using the
cancer cell ratio; providing a
database comprising targeting
drug information; generating a correlation model of targeting drugs and proto-oncogenes by using the
database; optimizing the correlation model; obtaining targeting drug recommendation information by using the optimized correlation model in combination with the
target gene; and integrating the targeting drug recommendation information to obtain a targeting drug recommendation table. The method takes the
gene expression information of a patient as a basis, obtains a
cancer cell ratio by calculation, and then determines a
target gene, and further precisely matches the target gene with a current targeting drug, so that the most suitable tumor-targeting drug for the individual condition of a patient can be precisely determined and recommended in the case where a cancerous
tissue biopsy sample cannot be obtained.