Liver transplantation process blood transfusion prediction method, system, equipment and medium

Abstract

The embodiment of the invention provides a blood transfusion prediction method, system and device in the liver transplantation process and a medium, and belongs to the technical field of medical care information. The method specifically comprises the steps: training an XGBOOST algorithm through a sample data set, and establishing a prediction model; collecting a key information data set of a target person, wherein the key information data set comprises age, portal hypertension, activated partial thrombin time, direct bilirubin content, globulin content, hemoglobin content, glutamic oxalacetic transaminase content, glutamic-pyruvic transaminase content and liver diagnosis information; and inputting the key information data set into the prediction model to obtain a predicted blood transfusion scheme. According to the scheme, the machine learning algorithm is used for learning the sample data set, the prediction model is established, then the collected key information data set of the target person is input into the prediction model, the predicted blood transfusion scheme is obtained, prediction efficiency and precision are improved, and the safety in the operation process is improved.

Description

technical field [0001] Embodiments of the present disclosure relate to the technical field of healthcare informatics, and in particular to a method, system, device and medium for predicting blood transfusion during liver transplantation. Background technique [0002] Currently, liver transplantation is an effective method for the treatment of end-stage liver disease, and the long and complicated surgical procedure may cause perioperative bleeding. Most patients require transfusion of packed red blood cells during or after surgery. Although blood transfusion can increase the patient's oxygen supply and improve tissue perfusion, it is also accompanied by many side effects, such as increased risk of deep vein thrombosis, increased fibrosis, cancer Relapse and mortality increase, thereby adversely affecting patient prognosis. In the case of massive bleeding, massive blood transfusion is often used in clinical practice to carry out volume therapy, but the amount of blood product...

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Problems solved by technology

[0004] In view of this, embodiments of the present disclosure provide a method, system, device, and medium for predicting blood transfusion during liver transplantation, at least partially solving the problems of poor prediction efficiency and prediction accuracy in the prior art

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