Suggestions on Using Machine Learning Models and Cautions for Analyzing Censored Time-To-Event Outcomes-Reference-Cited by-同舟云学术

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Suggestions on Using Machine Learning Models and Cautions for Analyzing Censored Time-To-Event Outcomes

Published:2024-05 Issue:8 Volume: Page:
ISSN:2473-4284
Container-title:JCO Precision Oncology
language:en
Short-container-title:JCO Precis Oncol

Author:

Shi Yushu¹^ORCID,Horiguchi Miki²^ORCID,Lu Ying³^ORCID

Affiliation:

1. Division of Biostatistics, Department of Population Health Sciences, Weill Cornell Medicine, Cornell University, New York, NY

2. Dana-Farber Cancer Institute, Department of Data Science, Boston, MA

3. Stanford Cancer Institute and Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA

Publisher

American Society of Clinical Oncology (ASCO)

Link

https://ascopubs.org/doi/pdfdirect/10.1200/PO.24.00220

Reference20 articles.

1. Explaining prediction models and individual predictions with feature contributions

2. Greedy function approximation: A gradient boosting machine.

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Imatinib adherence prediction using machine learning approach in patients with gastrointestinal stromal tumor;Cancer;2024-09-06

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