A machine learning model for predicting acute kidney injury secondary to severe acute pancreatitis

作     者：Wanyue Zhang Yongjian Chang Cuie Cheng Xiaodan Zhao Xiajiao Tang Fenying Lu Yanli Hu Chunying Yang Yuan Ding Ruihua Shi 

作者机构：School of MedicineSoutheast UniversityNanjingJiangsu 210009China School of Cyber Science and EngineeringSoutheast UniversityNanjingJiangsu 210009China Department of GastroenterologyChangshu No.2 People’s HospitalChangshuJiangsu 215500China Department of GastroenterologyZhongda HospitalSoutheast UniversityNanjingJiangsu 210009China Department of GastroenterologyPizhou People’s HospitalXuzhouJiangsu 221300China Department of GastroenterologyPizhou Hospital of Traditional Chinese MedicineXuzhouJiangsu 221300China 

出 版 物：《Chinese Medical Journal》 (中华医学杂志（英文版）)

年 卷 期：2024年第137卷第5期

页      面：619-621页

核心收录：

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 1002[医学-临床医学] 081104[工学-模式识别与智能系统] 08[工学] 100210[医学-外科学(含：普外、骨外、泌尿外、胸心外、神外、整形、烧伤、野战外)] 100201[医学-内科学(含：心血管病、血液病、呼吸系病、消化系病、内分泌与代谢病、肾病、风湿病、传染病)] 0835[工学-软件工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 10[医学] 

主　　题：pancreatitis acute kidney 

摘      要：To the Editor:Severe acute pancreatitis(SAP)is a common critical disease in gastroenterology,and 69.3%of patients have acute kidney injury(AKI).^([1])Early diagnosis and treatment are very important in improving the prognosis of these *** recent years,machine learning models have been widely used in the medical field due to their excellent prediction *** scholars have developed machine learning models that can solve the AKI prediction problem in specific populations and achieved good results.^([2])However,considering that the occurrence of AKI in patients with pancreatitis is also closely related to factors such as amylase and inflammatory markers,it is necessary to construct an AKI prediction model for the pancreatitis population.