AI-based Prediction of Catheter-related Thrombosis Risk for Cancer Patients-Reference-Cited by-同舟云学术

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AI-based Prediction of Catheter-related Thrombosis Risk for Cancer Patients

Published:2024-05-13 Issue: Volume:111 Page:1146-1149
ISSN:
Container-title:Companion Proceedings of the ACM Web Conference 2024
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Author:

Guo Yaoqi¹^ORCID,Ma Yun²^ORCID,Shao Zijian³^ORCID,Bi Weichen²^ORCID,Wang Yanfeng⁴^ORCID

Affiliation:

1. School of Software and Microelectronics, Peking University, Beijing, China

2. Institute for Artificial Intelligence, Peking University, Beijing, China

3. School of Electronics Engineering and Computer Science, Peking University, Beijing, China

4. Department of Comprehensive Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China

Funder

CAMS Innovation Fund for Medical Sciences (CIFMS) (supported by the Special Research Fund for Central Universities, Peking Union Medical College)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3589335.3651452

Reference13 articles.

1. J Martin Bland and Douglas G Altman. 1998. Survival probabilities (the Kaplan-Meier method). Bmj 317, 7172 (1998), 1572--1580.

2. Leo Breiman. 2001. Random forests. Machine learning 45 (2001), 5--32.

3. Joseph A Caprini, Juan I Arcelus, and JoséJ Reyna. 2001. Effective risk stratification of surgical and nonsurgical patients for venous thromboembolic disease. In Seminars in hematology, Vol. 38. Elsevier, 12--19.

4. XGBoost

5. Artificial intelligence in the prediction of venous thromboembolism: A systematic review and pooled analysis

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