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

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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Bibliographic Details
Main Authors: Yi–Dan Yan MSc, Ze Yu MD, Lan-Ping Ding MSc, Min Zhou MD, Chi Zhang MSc, Mang-Mang Pan MSc, Jin-Yuan Zhang MD, Ze-Yuan Wang MD, Fei Gao MD, Hang-Yu Li MD, Guang-Yong Zhang PhD, Hou-Wen Lin PhD, Ming-Gang Wang PhD, Zhi–Chun Gu MSc
Format: Article
Language:English
Published: SAGE Publishing 2023-04-01
Series:Clinical and Applied Thrombosis/Hemostasis
Online Access:https://doi.org/10.1177/10760296231171082

Internet

https://doi.org/10.1177/10760296231171082

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