Cargando…

Machine Learning-Assisted Ensemble Analysis for the Prediction of Acute Pancreatitis with Acute Kidney Injury

PURPOSE: Acute kidney injury (AKI) is a frequent complication of severe acute pancreatitis (AP) and carries a very poor prognosis. The present study aimed to construct a model capable of accurately identifying those patients at high risk of harboring occult acute kidney injury (AKI) characteristics....

Descripción completa

Detalles Bibliográficos
Autores principales:	Yang, Yi, Xiao, Wei, Liu, Xingtai, Zhang, Yan, Jin, Xin, Li, Xiao
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Dove 2022
Materias:	Original Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9123915/ https://www.ncbi.nlm.nih.gov/pubmed/35607360 http://dx.doi.org/10.2147/IJGM.S361330

Ejemplares similares

Machine Learning Models of Acute Kidney Injury Prediction in Acute Pancreatitis Patients
por: Qu, Cheng, et al.
Publicado: (2020)

Developing an ensemble machine learning model for early prediction of sepsis-associated acute kidney injury
por: Zhang, Luming, et al.
Publicado: (2022)

Machine learning for the prediction of acute kidney injury in patients with acute pancreatitis admitted to the intensive care unit
por: Cheng, Yisong, et al.
Publicado: (2022)

Machine Learning to Predict Contrast-Induced Acute Kidney Injury in Patients With Acute Myocardial Infarction
por: Sun, Ling, et al.
Publicado: (2020)

Application of Machine Learning to Predict Acute Kidney Disease in Patients With Sepsis Associated Acute Kidney Injury
por: He, Jiawei, et al.
Publicado: (2021)

Ensemble machine learning algorithm for predicting acute kidney injury in patients admitted to the neurointensive care unit following brain surgery
por: Wu, Muying, et al.
Publicado: (2023)

Explainable ensemble machine learning model for prediction of 28-day mortality risk in patients with sepsis-associated acute kidney injury
por: Yang, Jijun, et al.
Publicado: (2023)

Machine learning for the prediction of acute kidney injury in patients after cardiac surgery
por: Xue, Xin, et al.
Publicado: (2022)

Machine learning for the prediction of acute kidney injury in patients with sepsis
por: Yue, Suru, et al.
Publicado: (2022)

Machine Learning–Based Prediction of Acute Kidney Injury Following Pediatric Cardiac Surgery: Model Development and Validation Study
por: Luo, Xiao-Qin, et al.
Publicado: (2023)

Machine learning model for predicting acute kidney injury progression in critically ill patients
por: Wei, Canzheng, et al.
Publicado: (2022)

Utilizing imbalanced electronic health records to predict acute kidney injury by ensemble learning and time series model
por: Wang, Yuan, et al.
Publicado: (2020)

Machine learning for the prediction of all-cause mortality in patients with sepsis-associated acute kidney injury during hospitalization
por: Zhou, Hongshan, et al.
Publicado: (2023)

Predicting acute suicidal ideation on Instagram using ensemble machine learning models
por: Lekkas, Damien, et al.
Publicado: (2021)

Prediction of the development of acute kidney injury following cardiac surgery by machine learning
por: Tseng, Po-Yu, et al.
Publicado: (2020)

Using a machine learning model to predict the development of acute kidney injury in patients with heart failure
por: Liu, Wen Tao, et al.
Publicado: (2022)

Machine learning-based prediction model of acute kidney injury in patients with acute respiratory distress syndrome
por: Wei, Shuxing, et al.
Publicado: (2023)

Development and Validation of Machine Learning Models for Real-Time Mortality Prediction in Critically Ill Patients With Sepsis-Associated Acute Kidney Injury
por: Luo, Xiao-Qin, et al.
Publicado: (2022)

Machine learning in the prediction of cardiac surgery associated acute kidney injury with early postoperative biomarkers
por: Fan, Rui, et al.
Publicado: (2023)

Machine learning for the prediction of acute kidney injury in critical care patients with acute cerebrovascular disease
por: Zhang, Xiaohong, et al.
Publicado: (2022)

Using machine learning and an ensemble of methods to predict kidney transplant survival
por: Mark, Ethan, et al.
Publicado: (2019)

Predicting Acute Kidney Injury after Cardiac Surgery by Machine Learning Approaches
por: Thongprayoon, Charat, et al.
Publicado: (2020)

Machine learning approach to predict acute kidney injury after liver surgery
por: Dong, Jun-Feng, et al.
Publicado: (2021)

Application of interpretable machine learning for early prediction of prognosis in acute kidney injury
por: Hu, Chang, et al.
Publicado: (2022)

Machine learning for acute kidney injury: Changing the traditional disease prediction mode
por: Yu, Xiang, et al.
Publicado: (2023)

Machine learning prediction model of acute kidney injury after percutaneous coronary intervention
por: Kuno, Toshiki, et al.
Publicado: (2022)

Prediction of acute kidney injury in patients with femoral neck fracture utilizing machine learning
por: Liu, Jun, et al.
Publicado: (2022)

Prediction of Acute Kidney Injury After Cardiac Surgery Using Interpretable Machine Learning
por: Ejmalian, Azar, et al.
Publicado: (2022)

Predicting outcomes of acute kidney injury in critically ill patients using machine learning
por: Nateghi Haredasht, Fateme, et al.
Publicado: (2023)

Acute Kidney Injury in association with Acute Pancreatitis
por: Naqvi, Rubina
Publicado: (2018)

Machine learning algorithm-based identification and verification of characteristic genes in acute kidney injury
por: Li, Yinghao, et al.
Publicado: (2022)

Prediction model of acute kidney injury after different types of acute aortic dissection based on machine learning
por: Xinsai, Li, et al.
Publicado: (2022)

Machine learning for early discrimination between transient and persistent acute kidney injury in critically ill patients with sepsis
por: Luo, Xiao-Qin, et al.
Publicado: (2021)

Automated Machine Learning for the Early Prediction of the Severity of Acute Pancreatitis in Hospitals
por: Yin, Minyue, et al.
Publicado: (2022)

Machine learning clinical prediction models for acute kidney injury: the impact of baseline creatinine on prediction efficacy
por: Kamel Rahimi, Amir, et al.
Publicado: (2023)

Derivation and Validation of Machine Learning Approaches to Predict Acute Kidney Injury after Cardiac Surgery
por: Lee, Hyung-Chul, et al.
Publicado: (2018)

Machine learning for the prediction of volume responsiveness in patients with oliguric acute kidney injury in critical care
por: Zhang, Zhongheng, et al.
Publicado: (2019)

Comment on the article: “Prediction of the development of acute kidney injury following cardiac surgery by machine learning”
por: Zhang, Hang, et al.
Publicado: (2021)

Machine learning model for early prediction of acute kidney injury (AKI) in pediatric critical care
por: Dong, Junzi, et al.
Publicado: (2021)

Application of Machine Learning Algorithms to Predict Acute Kidney Injury in Elderly Orthopedic Postoperative Patients
por: Chen, Qiuchong, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_jtcbob425ov5d1uqa14f7r8rb9