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A novel interpretable machine learning system to generate clinical risk scores: An application for predicting early mortality or unplanned readmission in a retrospective cohort study


Jan 10, 2022
Yilin Ning , Siqi Li , Marcus Eng Hock Ong , Feng Xie , Bibhas Chakraborty , Daniel Shu Wei Ting , Nan Liu


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Benchmarking Predictive Risk Models for Emergency Departments with Large Public Electronic Health Records


Nov 22, 2021
Feng Xie , Jun Zhou , Jin Wee Lee , Mingrui Tan , Siqi Li , Logasan S/O Rajnthern , Marcel Lucas Chee , Bibhas Chakraborty , An-Kwok Ian Wong , Alon Dagan , Marcus Eng Hock Ong , Fei Gao , Nan Liu


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Deep learning for temporal data representation in electronic health records: A systematic review of challenges and methodologies


Jul 21, 2021
Feng Xie , Han Yuan , Yilin Ning , Marcus Eng Hock Ong , Mengling Feng , Wynne Hsu , Bibhas Chakraborty , Nan Liu


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AutoScore-Imbalance: An interpretable machine learning tool for development of clinical scores with rare events data


Jul 13, 2021
Han Yuan , Feng Xie , Marcus Eng Hock Ong , Yilin Ning , Marcel Lucas Chee , Seyed Ehsan Saffari , Hairil Rizal Abdullah , Benjamin Alan Goldstein , Bibhas Chakraborty , Nan Liu


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AutoScore-Survival: Developing interpretable machine learning-based time-to-event scores with right-censored survival data


Jun 13, 2021
Feng Xie , Yilin Ning , Han Yuan , Benjamin Alan Goldstein , Marcus Eng Hock Ong , Nan Liu , Bibhas Chakraborty


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Generalized Independent Noise Condition for Estimating Linear Non-Gaussian Latent Variable Graphs


Oct 10, 2020
Feng Xie , Ruichu Cai , Biwei Huang , Clark Glymour , Zhifeng Hao , Kun Zhang


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Causal Discovery with Multi-Domain LiNGAM for Latent Factors


Sep 19, 2020
Yan Zeng , Shohei Shimizu , Ruichu Cai , Feng Xie , Michio Yamamoto , Zhifeng Hao

* 9 pages, 5 figures 

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Research on the pixel-based and object-oriented methods of urban feature extraction with GF-2 remote-sensing images


Mar 08, 2019
Dong-dong Zhang , Lei Zhang , Vladimir Zaborovsky , Feng Xie , Yan-wen Wu , Ting-ting Lu


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