Li-Wei H. Lehman

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 35

Top Topics

Variational Inference

Outcome Prediction

Intensive Care Unit

Top Venues

IEEE J. Biomed. Health Informatics

Publications

Hong Xiong, Feng Wu, Leon Deng, Megan Su, Li-Wei H. Lehman
G-Transformer: Counterfactual Outcome Prediction under Dynamic and Time-varying Treatment Regimes. CoRR (2024)
Feng Wu, Guoshuai Zhao, Yuerong Zhou, Xueming Qian, Baedorf-Kassis Elias, Li-Wei H. Lehman
Forecasting Treatment Outcomes Over Time Using Alternating Deep Sequential Models. IEEE Trans. Biomed. Eng. 71 (4) (2024)
Stephanie M. Hu, Steven Horng, Seth J. Berkowitz, Ruizhi Liao, Rahul G. Krishnan, Li-Wei H. Lehman, Roger G. Mark
Characterizing the Progression of Pulmonary Edema Severity: Can Pairwise Comparisons in Radiology Reports Help? CinC (2023)
Feng Wu, Guoshuai Zhao, Xueming Qian, Li-Wei H. Lehman
A Diffusion Model with Contrastive Learning for ICU False Arrhythmia Alarm Reduction. IJCAI (2023)
Anna Wong, Shu Ge, Nassim Oufattole, Adam Dejl, Megan Su, Ardavan Saeedi, Li-Wei H. Lehman
A Knowledge Distillation Approach for Sepsis Outcome Prediction from Multivariate Clinical Time Series. CoRR (2023)
Li-Wei H. Lehman, Benjamin Moody, Harsh Deep, Feng Wu, Hasan Saeed, Lucas McCullum, Diane Perry, Tristan Struja, Qiao Li, Gari D. Clifford, Roger G. Mark
VTaC: A Benchmark Dataset of Ventricular Tachycardia Alarms from ICU Monitors. NeurIPS (2023)
Maximiliano Mollura, Cristian Drudi, Li-Wei H. Lehman, Riccardo Barbieri
A Reinforcement Learning Application for Optimal Fluid and Vasopressor Interventions in Septic ICU Patients. EMBC (2022)
Ardavan Saeedi, Yuria Utsumi, Li Sun, Kayhan Batmanghelich, Li-Wei H. Lehman
Knowledge Distillation via Constrained Variational Inference. AAAI (2022)
Maximiliano Mollura, Claudia Salerni, Li-Wei H. Lehman, Riccardo Barbieri
Physiologic Patients' Response to Fluid Administration in Intensive Care Unit. CinC (2022)
Maximiliano Mollura, Claudia Salerni, Li-Wei H. Lehman, Riccardo Barbieri
Characterization of Physiologic Patients' Response to Fluid Interventions in the Intensive Care Unit. EMBC (2022)
Lucas McCullum, Hasan Saeed, Benjamin Moody, Diane Perry, Eric Gottlieb, Tom Pollard, Xavier Borrat Frigola, Qiao Li, Gari D. Clifford, Roger G. Mark, Li-Wei H. Lehman
PhysioTag: An Open-Source Platform for Collaborative Annotation of Physiological Waveforms. CinC (2022)
Maximiliano Mollura, Cristian Drudi, Li-Wei H. Lehman, Riccardo Barbieri
Optimal Fluid And Vasopressor Interventions In Septic ICU Patients Through Reinforcement Learning Model. CinC (2022)
Adam Dejl, Harsh Deep, Jonathan Fei, Ardavan Saeedi, Li-Wei H. Lehman
Treatment-RSPN: Recurrent Sum-Product Networks for Sequential Treatment Regimes. CoRR (2022)
Rui Li, Stephanie Hu, Mingyu Lu, Yuria Utsumi, Prithwish Chakraborty, Daby M. Sow, Piyush Madan, Jun Li, Mohamed F. Ghalwash, Zach Shahn, Li-Wei H. Lehman
G-Net: a Recurrent Network Approach to G-Computation for Counterfactual Prediction Under a Dynamic Treatment Regime. ML4H@NeurIPS (2021)
Ziyu Jia, Youfang Lin, Jing Wang, Xiaojun Ning, Yuanlai He, Ronghao Zhou, Yuhan Zhou, Li-Wei H. Lehman
Multi-View Spatial-Temporal Graph Convolutional Networks with Domain Generalization for Sleep Stage Classification. CoRR (2021)
Maximiliano Mollura, Li-Wei H. Lehman, Riccardo Barbieri
Assessment of Sepsis in the ICU by Linear and Complex Characterization of Cardiovascular Dynamics. EMBC (2021)
Maximiliano Mollura, Stefano Romano, Giulio Mantoan, Li-Wei H. Lehman, Riccardo Barbieri
. EMBC (2020)
Maximiliano Mollura, Edoardo Maria Polo, Li-Wei H. Lehman, Riccardo Barbieri
Assessment of Heart Rate Variability Derived From Blood Pressure Pulse Recordings in Intensive Care Unit Patients. CinC (2020)
Rui Li, Zach Shahn, Jun Li, Mingyu Lu, Prithwish Chakraborty, Daby Sow, Mohamed F. Ghalwash, Li-Wei H. Lehman
G-Net: A Deep Learning Approach to G-computation for Counterfactual Outcome Prediction Under Dynamic Treatment Regimes. CoRR (2020)
Jun Li, Gan Sun, Guoshuai Zhao, Li-Wei H. Lehman
Robust Low-Rank Discovery of Data-Driven Partial Differential Equations. AAAI (2020)
Mingyu Lu, Zachary Shahn, Daby Sow, Finale Doshi-Velez, Li-Wei H. Lehman
Is Deep Reinforcement Learning Ready for Practical Applications in Healthcare? A Sensitivity Analysis of Duel-DDQN for Sepsis Treatment. CoRR (2020)
Mingyu Lu, Zachary Shahn, Daby Sow, Finale Doshi-Velez, Li-Wei H. Lehman
Is Deep Reinforcement Learning Ready for Practical Applications in Healthcare? A Sensitivity Analysis of Duel-DDQN for Hemodynamic Management in Sepsis Patients. AMIA (2020)
Xuefeng Peng, Yi Ding, David Wihl, Omer Gottesman, Matthieu Komorowski, Li-Wei H. Lehman, Andrew Slavin Ross, Aldo Faisal, Finale Doshi-Velez
Improving Sepsis Treatment Strategies by Combining Deep and Kernel-Based Reinforcement Learning. CoRR (2019)
Fengyi Tang, Cao Xiao, Fei Wang, Jiayu Zhou, Li-Wei H. Lehman
Retaining Privileged Information for Multi-Task Learning. KDD (2019)
Giovanni Angelotti, Pierandrea Morandini, Li-Wei H. Lehman, Roger G. Mark, Riccardo Barbieri
The Role of Baroreflex Sensitivity in Acute Hypotensive Episodes Prediction in the Intensive Care Unit. EMBC (2018)
Omer Gottesman, Fredrik D. Johansson, Joshua Meier, Jack Dent, Donghun Lee, Srivatsan Srinivasan, Linying Zhang, Yi Ding, David Wihl, Xuefeng Peng, Jiayu Yao, Isaac Lage, Christopher Mosch, Li-Wei H. Lehman, Matthieu Komorowski, Aldo Faisal, Leo Anthony Celi, David A. Sontag, Finale Doshi-Velez
Evaluating Reinforcement Learning Algorithms in Observational Health Settings. CoRR (2018)
Oliver Ren, Alistair E. W. Johnson, Eric P. Lehman, Matthieu Komorowski, Jerome Aboab, Fengyi Tang, Zach Shahn, Daby Sow, Roger G. Mark, Li-Wei H. Lehman
Predicting and Understanding Unexpected Respiratory Decompensation in Critical Care Using Sparse and Heterogeneous Clinical Data. ICHI (2018)
Uma M. Girkar, Ryo Uchimido, Li-Wei H. Lehman, Peter Szolovits, Leo A. Celi, Wei-Hung Weng
Predicting Blood Pressure Response to Fluid Bolus Therapy Using Attention-Based Neural Networks for Clinical Interpretability. CoRR (2018)
Li-Wei H. Lehman, Roger G. Mark, Shamim Nemati
A Model-Based Machine Learning Approach to Probing Autonomic Regulation From Nonstationary Vital-Sign Time Series. IEEE J. Biomed. Health Informatics 22 (1) (2018)
Eric P. Lehman, Rahul G. Krishnan, Xiaopeng Zhao, Roger G. Mark, Li-Wei H. Lehman
Representation Learning Approaches to Detect False Arrhythmia Alarms from ECG Dynamics. MLHC (2018)
Mohammad M. Ghassemi, Benjamin Moody, Li-Wei H. Lehman, Christopher Song, Qiao Li, Haoqi Sun, M. Brandon Westover, Gari D. Clifford
You Snooze, You Win: The PhysioNet/Computing in Cardiology Challenge 2018. CinC (2018)
Xuefeng Peng, Yi Ding, David Wihl, Omer Gottesman, Matthieu Komorowski, Li-Wei H. Lehman, Andrew Slavin Ross, Aldo Faisal, Finale Doshi-Velez
Improving Sepsis Treatment Strategies by Combining Deep and Kernel-Based Reinforcement Learning. AMIA (2018)
Gari D. Clifford, Chengyu Liu, Benjamin Moody, Li-Wei H. Lehman, Ikaro Silva, Qiao Li, Alistair E. W. Johnson, Roger G. Mark
AF Classification from a Short Single Lead ECG Recording: the Physionet Computing in Cardiology Challenge 2017. CinC (2017)
Yang Dai, Sharukh Lokhandwala, William J. Long, Roger G. Mark, Li-Wei H. Lehman
Phenotyping hypotensive patients in critical care using hospital discharge summaries. BHI (2017)
Aaron Zalewski, William J. Long, Alistair E. W. Johnson, Roger G. Mark, Li-Wei H. Lehman
Estimating patient's health state using latent structure inferred from clinical time series and text. BHI (2017)
Li-Wei H. Lehman, Ryan P. Adams, Louis Mayaud, George B. Moody, Atul Malhotra, Roger G. Mark, Shamim Nemati
A Physiological Time Series Dynamics-Based Approach to Patient Monitoring and Outcome Prediction. IEEE J. Biomed. Health Informatics 19 (3) (2015)
Li-Wei H. Lehman, Shamim Nemati, Roger G. Mark
Hemodynamic Monitoring Using Switching Autoregressive Dynamics of Multivariate Vital Sign Time Series. CinC (2015)
Li-Wei H. Lehman, Mohammad M. Ghassemi, Jasper Snoek, Shamim Nemati
Patient Prognosis from Vital Sign Time Series: Combining Convolutional Neural Networks with a Dynamical Systems Approach. CinC (2015)
Li-Wei H. Lehman, William J. Long, Mohammed Saeed, Roger G. Mark
Latent topic discovery of clinical concepts from hospital discharge summaries of a heterogeneous patient cohort. EMBC (2014)
Li-Wei H. Lehman, Shamim Nemati, George B. Moody, Thomas Heldt, Roger G. Mark
Uncovering Clinical Significance of Vital Sign Dynamics in Critical Care. CinC (2014)
Mohammad M. Ghassemi, Li-Wei H. Lehman, Jasper Snoek, Shamim Nemati
Global Optimization Approaches for Parameter Tuning in Biomedical Signal Processing: A Focus of Multi-scale Entropy. CinC (2014)
Shamim Nemati, Li-Wei H. Lehman, Ryan P. Adams
Learning outcome-discriminative dynamics in multivariate physiological cohort time series. EMBC (2013)
Li-Wei H. Lehman, Shamim Nemati, Ryan P. Adams, George B. Moody, Atul Malhotra, Roger G. Mark
Tracking progression of patient state of health in critical care using inferred shared dynamics in physiological time series. EMBC (2013)
Shamim Nemati, Li-Wei H. Lehman, Ryan P. Adams, Atul Malhotra
Discovering shared cardiovascular dynamics within a patient cohort. EMBC (2012)
Li-Wei H. Lehman, Mohammed Saeed, William J. Long, Joon Lee, Roger G. Mark
Risk Stratification of ICU Patients Using Topic Models Inferred from Unstructured Progress Notes. AMIA (2012)
Li-Wei H. Lehman, Shamim Nemati, Ryan P. Adams, Roger G. Mark
Discovering shared dynamics in physiological signals: Application to patient monitoring in ICU. EMBC (2012)
Ishna Neamatullah, Margaret M. Douglass, Li-Wei H. Lehman, Andrew T. Reisner, Mauricio Villarroel, William J. Long, Peter Szolovits, George B. Moody, Roger G. Mark, Gari D. Clifford
Automated de-identification of free-text medical records. BMC Medical Informatics Decis. Mak. 8 (2008)
Li-Wei H. Lehman, Steven Lerman
A Decentralized Network Coordinate System for Robust Internet Distance. ITNG (2006)
Li-Wei H. Lehman, Steven Lerman
PCoord: Network Position Estimation Using Peer-to-Peer Measurements. NCA (2004)
Li-Wei H. Lehman, Stephen J. Garland, David L. Tennenhouse
Active Reliable Multicast. INFOCOM (1998)