An Adaptive Deep Ensemble Learning Method for Dynamic Evolving Diagnostic Task Scenarios
An Adaptive Deep Ensemble Learning Method for Dynamic Evolving Diagnostic Task Scenarios
About this item
Full title
Author / Creator
Publisher
Switzerland: MDPI AG
Journal title
Language
English
Formats
Publication information
Publisher
Switzerland: MDPI AG
Subjects
More information
Scope and Contents
Contents
Increasingly, machine learning methods have been applied to aid in diagnosis with good results. However, some complex models can confuse physicians because they are difficult to understand, while data differences across diagnostic tasks and institutions can cause model performance fluctuations. To address this challenge, we combined the Deep Ensemb...
Alternative Titles
Full title
An Adaptive Deep Ensemble Learning Method for Dynamic Evolving Diagnostic Task Scenarios
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_18c05d22b8e74167a10cdb9a007623ab
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_18c05d22b8e74167a10cdb9a007623ab
Other Identifiers
ISSN
2075-4418
E-ISSN
2075-4418
DOI
10.3390/diagnostics11122288
