Radiomics With Ensemble Machine Learning Predicts Dopamine Agonist Response in Patients With Prolact...
Radiomics With Ensemble Machine Learning Predicts Dopamine Agonist Response in Patients With Prolactinoma
About this item
Full title
Author / Creator
Publisher
US: Oxford University Press
Journal title
Language
English
Formats
Publication information
Publisher
US: Oxford University Press
Subjects
More information
Scope and Contents
Contents
Abstract
Context
Early identification of the response of prolactinoma patients to dopamine agonists (DA) is crucial in treatment planning.
Objective
To develop a radiomics model using an ensemble machine learning classifier with conventional magnetic resonance images (MRIs) to predict the DA response in prolactinoma patients.
Design<...
Alternative Titles
Full title
Radiomics With Ensemble Machine Learning Predicts Dopamine Agonist Response in Patients With Prolactinoma
Authors, Artists and Contributors
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_proquest_miscellaneous_2501266352
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2501266352
Other Identifiers
ISSN
0021-972X
E-ISSN
1945-7197
DOI
10.1210/clinem/dgab159
