Combining adult with pediatric patient data to develop a clinical decision support tool intended for children: leveraging machine learning to model heterogeneity

Combining adult with pediatric patient data to develop a clinical decision support tool intended for children: leveraging machine learning to model heterogeneity

Abstract Background Clinical decision support (CDS) tools built using adult data do not typically perform well for children. We explored how best to leverage adult data to improve the performance of such tools. This study assesses whether it is better to build CDS tools for children using data from...

Full description

Bibliographic Details
Main Authors: Paul Sabharwal, Jillian H. Hurst, Rohit Tejwani, Kevin T. Hobbs, Jonathan C. Routh, Benjamin A. Goldstein
Format: Article
Language:English
Published: BMC 2022-03-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Predictive modeling
Electronic health records
Machine learning
Pediatrics
Online Access:https://doi.org/10.1186/s12911-022-01827-4

Internet

https://doi.org/10.1186/s12911-022-01827-4

Similar Items