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Li-wei H. Lehman

Treatment-RSPN: Recurrent Sum-Product Networks for Sequential Treatment Regimes

Nov 14, 2022
Adam Dejl, Harsh Deep, Jonathan Fei, Ardavan Saeedi, Li-wei H. Lehman

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* Extended Abstract presented at Machine Learning for Health (ML4H) symposium 2022, November 28th, 2022, New Orleans, United States & Virtual, http://www.ml4h.cc, 14 pages

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Multi-View Spatial-Temporal Graph Convolutional Networks with Domain Generalization for Sleep Stage Classification

Sep 04, 2021
Ziyu Jia, Youfang Lin, Jing Wang, Xiaojun Ning, Yuanlai He, Ronghao Zhou, Yuhan Zhou, Li-wei H. Lehman

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* Accepted by IEEE Transactions on Neural Systems and Rehabilitation Engineering(TNSRE)

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Improving Sepsis Treatment Strategies by Combining Deep and Kernel-Based Reinforcement Learning

Jan 15, 2019
Xuefeng Peng, Yi Ding, David Wihl, Omer Gottesman, Matthieu Komorowski, Li-wei H. Lehman, Andrew Ross, Aldo Faisal, Finale Doshi-Velez

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* AMIA 2018 Annual Symposium

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Predicting Blood Pressure Response to Fluid Bolus Therapy Using Attention-Based Neural Networks for Clinical Interpretability

Dec 03, 2018
Uma M. Girkar, Ryo Uchimido, Li-wei H. Lehman, Peter Szolovits, Leo Celi, Wei-Hung Weng

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* Machine Learning for Health (ML4H) Workshop at NeurIPS 2018 arXiv:1811.07216

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