Back to search

Article

A machine learning-based model for assessing the risk of new-onset liver injury following cardiac surgery under cardiopulmonary bypass

2024-08-26

Abstract excerpt

<title>Abstract</title> <p>Objective: This study aimed to develop and validate a predictive model for assessing the risk of new-onset liver injury following cardiac surgery under cardiopulmonary bypass (CPB), using non-redundant and informative features extracted from electronic health records. <h4>Materials and Methods:</h4> We employed machine learning algorithms including Generalized Additive Model (GAM), Ran...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
59b03012-15e2-52ea-82e7-36eb52c14c50
DOI
10.21203/rs.3.rs-4766168/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
A machine learning-based model for assessing the risk of new-onset liver injury following cardiac surgery under cardiopulmonary bypassDOI 10.21203/rs.3.rs-4766168/v1
Construction of a diagnostic model for early-stage postoperative complications after liver transplantation and molecular mechanism researchSemantic proximity
Machine learning-based prediction of postoperative mortality in emergency colorectal surgery: A retrospective, multicenter cohort study using Tokushukai Medical DatabaseSemantic proximity
Nomogram for Prediction of the International Study Group of Liver Surgery (ISGLS) Grade B/C Posthepatectomy Liver Failure in HBV-related Hepatocellular carcinoma Patients: an external validation and prospective application studySemantic proximity
Nomogram for Prediction of the International Study Group of Liver Surgery (ISGLS) Grade B/C Posthepatectomy Liver Failure in HBV-Related Hepatocellular Carcinoma Patients: An External Validation and Prospective Application StudySemantic proximity
Construction and Application of Early Warning Model for Ischemic Colitis in Emergency Patients Based on Machine LearningSemantic proximity
Machine learning for clinical decision support in intrahepatic cholangiocarcinoma based on a population study of the US SEER database and a Chinese single-center registrySemantic proximity
A Comparative Study of Three Early Warning Scores in Early Identification of Gastric Cancer Patients with Deteriorating Condition after GastrectomySemantic proximity
Screening of key variables and development and validation of a prognostic model for hepatocellular carcinomaSemantic proximity
Development and external validation of a machine learning model for predicting immediate postoperative instability in adults undergoing cardiac surgerySemantic proximity
Development and validation of personalised risk prediction models for early detection and diagnosis of primary liver cancer among the English primary care population using the QResearch<sup>®</sup> database: research protocol and statistical analysis planSemantic proximity
Machine learning-based mortality prediction models for non-alcoholic fatty liver disease in the general United States populationSemantic proximity
Developing Deep Learning Continuous Risk Models for Early Adverse Event Prediction in Electronic Health Records: an AKI Case StudySemantic proximity
Select a neighboring publication to make it the new centre.