中国输血杂志2024，Vol.37Issue(3)：319-324,6.DOI:10.13303/j.cjbt.issn.1004-549x.2024.03.010
机器学习模型在肝移植手术用血分析预测中的应用
Application of machine learning in predictive analysis of blood usage for liver transplantation surgery
摘要
Abstract
Objective To explore the application of machine learning in scientific and rational blood preparation and predictive analysis for surgical blood usage before liver transplantation surgery.Methods Clinical basic information inclu-ding gender,age,clinical diagnosis and surgical methods of 356 liver transplantation patients were collected.The duration(Time)and preoperative laboratory test results of hemoglobin(Hb),hematocrit(Hct),platelet count(Plt),prothrombin time(PT),activated partial thromboplastin time(APTT),fibrinogen(Fib),total bilirubin(TBIL),albumin(ALB),creatinine(Crea)and total protein(TP),as well as the amount of intraoperative blood transfusion were collected.A ma-chine learning model capable of predicting the risk of massive blood transfusion during liver transplantation surgery was es-tablished by Python,and was evaluated to select the optimal predictive model.Results Among the 7 machine learning models constructed,the logistic regression model performed the best(AUROC:0.90,F1 score:0.82),with an accuracy of 79.44％and precision of 79.69％,followed by the random forest classifier(AUROC:0.87,F1 score:0.83),with an accu-racy of 79.44％and precision of 77.94％.Conclusion Establishing a machine learning prediction model by Python is of significant clinical importance for scientific blood preparation,predicting the risk of massive blood transfusion and ensuring the safety of blood use in liver transplantation surgery.关键词
Python/机器学习模型/肝移植/大量用血/用血管理Key words
Python/machine learning model/liver transplantation/massive blood transfusion/blood management分类
医药卫生引用本文复制引用
宗朋,张文丽,李萍,邵长峰,王海燕..机器学习模型在肝移植手术用血分析预测中的应用[J].中国输血杂志,2024,37(3):319-324,6.基金项目
青岛市输血协会2020年科技支持项目(2020-qdsx09) （2020-qdsx09）
