Zhixuan Zeng

Interpretable recurrent neural network models for dynamic prediction of the extubation failure risk in patients with invasive mechanical ventilation in the intensive care unit

Yang Liu, Zhengkun He, Xun Gong, 2022, BioData Mining.

Discovery of TIGIT inhibitors based on DEL and machine learning

Tianyuan Zhang, Zhenwei Li, Zhixuan Zeng, 2022, Frontiers in Chemistry.

Single Leaf Area Measurement Using Digital Camera Image

Jihua Wang, Yuchun Pan, Zhixuan Zeng, 2010, CCTA.

Development and validation of a novel blending machine learning model for hospital mortality prediction in ICU patients with Sepsis

Jianfei Zheng, Shuo Yao, Xun Gong, 2021, BioData Mining.

An Improved HMM-Based Approach for Planning Individual Routes Using Crowd Sourcing Spatiotemporal Data

Longgang Xiang, Tao Wu, Jianxin Qin, 2020, Sensors.

Development and validation of a novel blending machine learning model for hospital mortality prediction in ICU patients with Sepsis

Jianfei Zheng, Shuo Yao, Xun Gong, 2021, BioData Min..

Neural networks based on attention architecture are robust to data missingness for early predicting hospital mortality in intensive care unit patients

Bing Xiao, Jiqiang Liu, Shuo Yao, 2023, Digital health.