Development and validation of a novel blending machine learning model for hospital mortality prediction in ICU patients with Sepsis by Zhixuan Zeng, Shuo Yao, Jianfei Zheng, Xun Gong

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COVID-Net L2C-ULTRA: An Explainable Linear-Convex Ultrasound Augmentation Learning Framework to Improve COVID-19 Assessment and Monitoring by E. Zhixuan Zeng, Ashkan Ebadi, Adrian Florea, Alexander Wong

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Interpretable recurrent neural network models for dynamic prediction of the extubation failure risk in patients with invasive mechanical ventilation in the intensive care unit by Zhixuan Zeng, Xianming Tang, Yang Liu, Zhengkun He, Xun Gong

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An Improved HMM-Based Approach for Planning Individual Routes Using Crowd Sourcing Spatiotemporal Data by Tao Wu, Zhixuan Zeng, Jianxin Qin, Longgang Xiang, Yiliang Wan

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Neural networks based on attention architecture are robust to data missingness for early predicting hospital mortality in intensive care unit patients by Zhixuan Zeng, Yang Liu, Shuo Yao, Jiqiang Liu, Bing Xiao, Chenxue Liu, Xun Gong

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Discovery of TIGIT inhibitors based on DEL and machine learning by Feng Xiong, Mingao Yu, Honggui Xu, Zhenmin Zhong, Zhenwei Li, Yuhan Guo, Tianyuan Zhang, Zhixuan Zeng, Feng Jin, Xun He

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