The invention discloses an anti-tumor treatment adverse reaction risk early warning method and
system, and relates to the technical field of
medical information processing, and the method comprises the steps: obtaining the physiological index data of a patient, and obtaining a short-term risk prediction result based on the
time sequence change characteristics of the physiological index data of a deep neural network; obtaining clinical
feature data of the patient, constructing a susceptibility assessment model, and analyzing correlation features of the clinical
feature data through the susceptibility assessment model to obtain a baseline
risk assessment result; and according to the short-term risk prediction result and the baseline
risk assessment result, calculating a comprehensive risk
score, and when the comprehensive risk
score exceeds an early warning threshold of the corresponding adverse
reaction type, triggering an early warning
signal. According to the method, a double-layer
risk assessment system is constructed by combining instant physiological index changes and clinical features of patients, the technical problems that an existing early warning method is insufficient in consideration of individual differences of the patients and poor in early warning timeliness are solved, and the accuracy and timeliness of early warning of adverse reactions of anti-tumor treatment are improved.