The present invention relates to the field of
medical diagnosis technology, and particularly to a method and
system for detecting
acute kidney injury based on
missing data. The present invention obtains the preoperative
creatinine abnormality degree according to the difference in serum
creatinine data between the patient to be tested and similar patients during the preoperative analysis period, and obtains the initial postoperative
creatinine abnormality degree according to the change rate and prominence of the serum creatinine data at each moment during the postoperative analysis period of the patient to be tested; based on the difference between the preoperative creatinine
abnormality degree and the initial postoperative creatinine abnormality degree, and the difference between the
blood loss and the blood transfusion volume, the final postoperative creatinine abnormality degree is obtained, and the
acute kidney injury of the patient to be tested is detected by combining the preoperative creatinine abnormality degree and the total
urine volume during the postoperative analysis period. The present invention reduces the influence of
cardiopulmonary bypass on the postoperative serum creatinine abnormality degree according to the changes in the serum creatinine abnormality degree before and after
surgery and the difference between the
blood loss and the blood transfusion volume, and combines the preoperative creatinine abnormality degree and the
urine volume to improve the accuracy of detecting
acute kidney injury in the patient to be tested.