The invention relates to the field of multi-
modal learning, in particular to a
colorectal cancer drug chemotherapy reaction
prediction system and a storage medium, and a
computer program in the storage medium executes the following steps: constructing a PDO model and a PDOX model based on
tumor cells; obtaining a standardized median inhibitory concentration value and a standardized relative tumor
proliferation rate of the
colorectal cancer patient by utilizing the PDO model and the PDOX model; based on the obtained
medical record and
pathological examination of the
colorectal cancer patient, obtaining the age, ASA
score, Ki-67 index, combined positive
score and clinical outcome of the patient, and further constructing a sample set in combination with a standardized median inhibitory concentration value and a standardized relative tumor
proliferation rate; and constructing a model for predicting the
chemotherapy reaction of the colorectal
cancer drug on the basis of multi-factor
logistic regression, training and evaluating the model by using the sample set, and performing
chemotherapy guidance on a to-be-treated colorectal
cancer patient. The problems that in the prior art, chemotherapy reaction prediction of the colorectal
cancer patient is not accurate enough and low in efficiency are solved.