Cargando…

Application of Machine Learning Algorithms to Predict Acute Kidney Injury in Elderly Orthopedic Postoperative Patients

OBJECTIVE: There has been a worldwide increment in acute kidney injury (AKI) incidence among elderly orthopedic operative patients. The AKI prediction model provides patients’ early detection a possibility at risk of AKI; most of the AKI prediction models derive, however, from the cardiothoracic ope...

Descripción completa

Detalles Bibliográficos
Autores principales:	Chen, Qiuchong, Zhang, Yixue, Zhang, Mengjun, Li, Ziying, Liu, Jindong
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Dove 2022
Materias:	Original Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8979591/ https://www.ncbi.nlm.nih.gov/pubmed/35386749 http://dx.doi.org/10.2147/CIA.S349978

Ejemplares similares

Impact of Dexmedetomidine Infusion on Postoperative Acute Kidney Injury in Elderly Patients Undergoing Major Joint Replacement: A Retrospective Cohort Study
por: Zhu, He, et al.
Publicado: (2020)

Machine learning algorithms to predict risk of postoperative pneumonia in elderly with hip fracture
por: Guo, Jiale, et al.
Publicado: (2023)

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

Effects of Preoperative Anxiety on Postoperative Delirium in Elderly Patients Undergoing Elective Orthopedic Surgery: A Prospective Observational Cohort Study
por: Ren, Aolin, et al.
Publicado: (2021)

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

Using Machine Learning Algorithms to Predict High-Risk Factors for Postoperative Delirium in Elderly Patients
por: Liu, Yuan, et al.
Publicado: (2023)

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

Machine learning: algorithms and applications
por: Mohammed, Mohssen, et al.
Publicado: (2016)

Will intelligent machine learning revolutionize orthopedic imaging?
por: Berg, Hans E
Publicado: (2017)

Machine Learning in Orthopedics: A Literature Review
por: Cabitza, Federico, et al.
Publicado: (2018)

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

Prediction of Acute Kidney Injury With a Machine Learning Algorithm Using Electronic Health Record Data
por: Mohamadlou, Hamid, et al.
Publicado: (2018)

Machine learning algorithm to predict mortality in critically ill patients with sepsis-associated acute kidney injury
por: Li, Xunliang, et al.
Publicado: (2023)

Machine learning algorithms for industrial applications /
Publicado: (2021)

Artificial intelligence, machine learning, and deep learning in orthopedic surgery
por: Atik, O. Şahap
Publicado: (2022)

Machine Learning Prediction Models for Postoperative Stroke in Elderly Patients: Analyses of the MIMIC Database
por: Zhang, Xiao, et al.
Publicado: (2022)

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)

A comparative study of machine learning algorithms for predicting acute kidney injury after liver cancer resection
por: Lei, Lei, et al.
Publicado: (2020)

Prediction model of acute kidney injury induced by cisplatin in older adults using a machine learning algorithm
por: Okawa, Takaya, et al.
Publicado: (2022)

Prediction of acute kidney injury risk after cardiac surgery: using a hybrid machine learning algorithm
por: Petrosyan, Yelena, et al.
Publicado: (2022)

Postoperative acute kidney injury
por: Park, Jung Tak
Publicado: (2017)

Predicting early postoperative PONV using multiple machine-learning- and deep-learning-algorithms
por: Zhou, Cheng-Mao, et al.
Publicado: (2023)

Influence of Ketamine on Early Postoperative Cognitive Function After Orthopedic Surgery in Elderly Patients
por: Lee, Ki Hwa, et al.
Publicado: (2015)

Extreme learning machines 2013: algorithms and applications
por: Sun, Fuchen, et al.
Publicado: (2014)

Machine learning refined: foundations, algorithms, and applications
por: Watt, Jeremy, et al.
Publicado: (2020)

Evolutionary machine learning techniques: algorithms and applications
por: Mirjalili, Seyedali, et al.
Publicado: (2019)

Development and Validation of a Postoperative Delirium Prediction Model for Elderly Orthopedic Patients in the Intensive Care Unit
por: Wang, Gang, et al.
Publicado: (2021)

To Predict the Length of Hospital Stay After Total Knee Arthroplasty in an Orthopedic Center in China: The Use of Machine Learning Algorithms
por: Han, Chang, et al.
Publicado: (2021)

Chronic kidney disease prediction based on machine learning algorithms
por: Islam, Md. Ariful, et al.
Publicado: (2023)

Lasso-Based Machine Learning Algorithm for Predicting Postoperative Lung Complications in Elderly: A Single-Center Retrospective Study from China
por: Liu, Jie, et al.
Publicado: (2023)

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

Development of a Machine Learning Model of Postoperative Acute Kidney Injury Using Non-Invasive Time-Sensitive Intraoperative Predictors
por: Zamirpour, Siavash, et al.
Publicado: (2023)

Machine Learning-Assisted Ensemble Analysis for the Prediction of Acute Pancreatitis with Acute Kidney Injury
por: Yang, Yi, et al.
Publicado: (2022)

Review on the Application of Machine Learning Algorithms in the Sequence Data Mining of DNA
por: Yang, Aimin, et al.
Publicado: (2020)

Value and Clinical Application of Orthopedic Metal Artifact Reduction Algorithm in CT Scans after Orthopedic Metal Implantation
por: Hu, Yi, et al.
Publicado: (2017)

Contribution of preoperative gut microbiota in postoperative neurocognitive dysfunction in elderly patients undergoing orthopedic surgery
por: Bi, Jiangjiang, et al.
Publicado: (2023)

A novel machine learning algorithm, Bayesian networks model, to predict the high‐risk patients with cardiac surgery‐associated acute kidney injury
por: Li, Yang, et al.
Publicado: (2020)

Determinants of postoperative acute kidney injury
por: Abelha, Fernando José, et al.
Publicado: (2009)

Application of Machine Learning Algorithms in the Prediction of Prolonged Postoperative Opioid Use in Patients Undergoing Elective Shoulder Arthroscopy (215)
por: Lu, Yining, et al.
Publicado: (2021)

Machine learning algorithms: popular algorithms for data science and machine learning
por: Bonaccorso, Giuseppe
Publicado: (2018)

Cannot write session to /tmp/vufind_sessions/sess_kqsb07lkj3e7n61cfeam2le8c0