An intelligent early warning method and system for adverse reactions of chemotherapy drugs for tumor patients

Abstract

The present application relates to the technical field of intelligent medical prediction, in particular to a kind of intelligent early warning method and system for adverse reactions of tumor patient chemotherapy drug, method includes: the gene sequencing data of current patient, time sequence physiological index data are input to network model, network model output damage stage;The training data set of network model includes: gene sequencing data, time sequence physiological index data and damage stage;The acquisition process of damage stage includes: based on gene sequencing data, the relative metabolic rate thereof to chemotherapy drug is acquired, and then the relative speed of its in-vivo toxicity accumulation is determined;After the time sequence physiological index data of meaningless physiological fluctuation of historical patient is smoothed, the nerve damage change curve is acquired according to time sequence physiological index data, and then whether there is potential subclinical signal segment in it is identified, if yes, then it is judged damage stage according to this.The present application can realize individualized, accurate risk prediction before irreversible nerve damage occurs caused by chemotherapy.

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