Machine Learning to Dynamically Predict In-Hospital Venous Thromboembolism After Inguinal Hernia Surgery: Results From the CHAT-1 Study

BACKGROUND: The accuracy of current prediction tools for venous thromboembolism (VTE) events following hernia surgery remains insufficient for individualized patient management strategies. To address this issue, we have developed a machine learning (ML)-based model to dynamically predict in-hospital...

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Detalles Bibliográficos
Autores principales: Yan, Yi–Dan, Yu, Ze, Ding, Lan-Ping, Zhou, Min, Zhang, Chi, Pan, Mang-Mang, Zhang, Jin-Yuan, Wang, Ze-Yuan, Gao, Fei, Li, Hang-Yu, Zhang, Guang-Yong, Lin, Hou-Wen, Wang, Ming-Gang, Gu, Zhi–Chun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2023
Materias:
Original Manuscript
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10134160/
https://www.ncbi.nlm.nih.gov/pubmed/37094089
http://dx.doi.org/10.1177/10760296231171082

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10134160/
https://www.ncbi.nlm.nih.gov/pubmed/37094089
http://dx.doi.org/10.1177/10760296231171082

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