Paraskevi Papadopoulou: Advancing Explainable AI for Thrombosis Prediction in Neurocritical Care
Paraskevi Papadopoulou, Professor, Cell Biologist, Biophysicist and Deree at The American College of Greece, shared a post on LinkedIn about a recent article by Xujie Wang et al. published in Frontiers in Neurology, adding:
“An important article that I recently edited, part of our Research Topic Luk Arbuckle, Giuseppe Miceli, Pedro Velmovitsky ‘Artificial Intelligence and Digital Neuromonitoring: Transforming Neurocritical and Neurohospitalist Care’:
Explainable Machine Learning for Predicting Lower Extremity Deep Vein Thrombosis in Traumatic Brain Injury Patients: Development of a SHAP-Guided Random Forest Model, by Zhan Wang, Ming Hou, Zihou Xing, Kun Liu, Zhiqi Yu, Xuhui Liu, Xujie Wang, has now been published in Frontiers in Neurology, as an open-access publication.”
Title: Explainable machine learning for predicting lower extremity deep vein thrombosis in traumatic brain injury patients: development of a SHAP-guided Random Forest model
Authors: Xujie Wang, Xuhui Liu, Zhiqi Yu, Kun Liu, Zihou Xing, Ming Hou, Zhan Wang
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