Development and Validation of a Risk Prediction Model for Venous Thromboembolism in Lung Cancer Patients Using Machine Learning

BACKGROUND: There is currently a lack of model for predicting the occurrence of venous thromboembolism (VTE) in patients with lung cancer. Machine learning (ML) techniques are being increasingly adapted for use in the medical field because of their capabilities of intelligent analysis and scalabilit...

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Detalles Bibliográficos
Autores principales: Lei, Haike, Zhang, Mengyang, Wu, Zeyi, Liu, Chun, Li, Xiaosheng, Zhou, Wei, Long, Bo, Ma, Jiayang, Zhang, Huiyi, Wang, Ying, Wang, Guixue, Gong, Mengchun, Hong, Na, Liu, Haixia, Wu, Yongzhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Cardiovascular Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8934875/
https://www.ncbi.nlm.nih.gov/pubmed/35321110
http://dx.doi.org/10.3389/fcvm.2022.845210

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8934875/
https://www.ncbi.nlm.nih.gov/pubmed/35321110
http://dx.doi.org/10.3389/fcvm.2022.845210

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