Machine learning approaches to predict the 1-year-after-initial-AMI survival of elderly patients

Machine learning approaches to predict the 1-year-after-initial-AMI survival of elderly patients

Abstract Background While multiple randomized controlled trials (RCTs) are available, their results may not be generalizable to older, unhealthier or less-adherent patients. Observational data can be used to predict outcomes and evaluate treatments; however, exactly which strategy should be used to...

Full description

Bibliographic Details
Main Authors: Jisoo Lee, Sulyun Lee, W. Nick Street, Linnea A. Polgreen
Format: Article
Language:English
Published: BMC 2022-04-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Acute myocardial infarction (AMI heart attack)
Machine learning
Lasso logistic regression (LLR)
Random forest (RF)
Sampling methods
Hyper-parameter optimization
Online Access:https://doi.org/10.1186/s12911-022-01854-1

Internet

https://doi.org/10.1186/s12911-022-01854-1

Similar Items