Prediction of Recurrence after Transsphenoidal Surgery for Cushing’s Disease: The Use of Machine Lea...
Prediction of Recurrence after Transsphenoidal Surgery for Cushing’s Disease: The Use of Machine Learning Algorithms
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Author / Creator
Liu, Yifan , Liu, Xiaohai , Hong, Xinyu , Liu, Penghao , Bao, Xinjie , Yao, Yong , Xing, Bing , Li, Yansheng , Huang, Yi , Zhu, Huijuan , Lu, Lin , Wang, Renzhi and Feng, Ming
Publisher
Basel, Switzerland: S. Karger AG
Journal title
Language
English
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Publication information
Publisher
Basel, Switzerland: S. Karger AG
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Scope and Contents
Contents
Background: There are no reliable predictive models for recurrence after transsphenoidal surgery (TSS) for Cushing’s disease (CD). Objectives: This study aimed to develop machine learning (ML)-based predictive models for CD recurrence after initial TSS and to evaluate their performance. Method: A total of 354 CD patients were included in this retro...
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Full title
Prediction of Recurrence after Transsphenoidal Surgery for Cushing’s Disease: The Use of Machine Learning Algorithms
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Record Identifier
TN_cdi_gale_infotracmisc_A630931113
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_gale_infotracmisc_A630931113
Other Identifiers
ISSN
0028-3835
E-ISSN
1423-0194
DOI
10.1159/000496753
