Li-Wei H. Lehman

According to our database, Li-Wei H. Lehman authored at least 48 papers between 1998 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Forecasting Treatment Outcomes Over Time Using Alternating Deep Sequential Models.

Feng Wu, Guoshuai Zhao, Yuerong Zhou, Xueming Qian, Baedorf-Kassis Elias, Li-Wei H. Lehman

IEEE Trans. Biomed. Eng., April, 2024

2023

A Knowledge Distillation Approach for Sepsis Outcome Prediction from Multivariate Clinical Time Series.

Anna Wong, Shu Ge, Nassim Oufattole, Adam Dejl, Megan Su, Ardavan Saeedi, Li-Wei H. Lehman

CoRR, 2023

VTaC: A Benchmark Dataset of Ventricular Tachycardia Alarms from ICU Monitors.

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Diffusion Model with Contrastive Learning for ICU False Arrhythmia Alarm Reduction.

Feng Wu, Guoshuai Zhao, Xueming Qian, Li-Wei H. Lehman

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Characterizing the Progression of Pulmonary Edema Severity: Can Pairwise Comparisons in Radiology Reports Help?

Stephanie M. Hu, Steven Horng, Seth J. Berkowitz, Ruizhi Liao, Rahul G. Krishnan, Li-Wei H. Lehman, Roger G. Mark

Proceedings of the Computing in Cardiology, 2023

2022

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

Adam Dejl, Harsh Deep, Jonathan Fei, Ardavan Saeedi, Li-Wei H. Lehman

CoRR, 2022

Characterization of Physiologic Patients' Response to Fluid Interventions in the Intensive Care Unit.

Maximiliano Mollura, Claudia Salerni, Li-Wei H. Lehman, Riccardo Barbieri

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

A Reinforcement Learning Application for Optimal Fluid and Vasopressor Interventions in Septic ICU Patients.

Maximiliano Mollura, Cristian Drudi, Li-Wei H. Lehman, Riccardo Barbieri

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Physiologic Patients' Response to Fluid Administration in Intensive Care Unit.

Maximiliano Mollura, Claudia Salerni, Li-Wei H. Lehman, Riccardo Barbieri

Proceedings of the Computing in Cardiology, 2022

Optimal Fluid And Vasopressor Interventions In Septic ICU Patients Through Reinforcement Learning Model.

Maximiliano Mollura, Cristian Drudi, Li-Wei H. Lehman, Riccardo Barbieri

Proceedings of the Computing in Cardiology, 2022

PhysioTag: An Open-Source Platform for Collaborative Annotation of Physiological Waveforms.

Lucas McCullum, Hasan Saeed, Benjamin Moody, Diane Perry, Eric Gottlieb, Tom J. Pollard, Xavier Borrat Frigola, Qiao Li, Gari D. Clifford, Roger G. Mark, Li-Wei H. Lehman

Proceedings of the Computing in Cardiology, 2022

Knowledge Distillation via Constrained Variational Inference.

Ardavan Saeedi, Yuria Utsumi, Li Sun, Kayhan Batmanghelich, Li-Wei H. Lehman

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

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

Ziyu Jia, Youfang Lin, Jing Wang, Xiaojun Ning, Yuanlai He, Ronghao Zhou, Yuhan Zhou, Li-Wei H. Lehman

CoRR, 2021

G-Net: a Recurrent Network Approach to G-Computation for Counterfactual Prediction Under a Dynamic Treatment Regime.

Rui Li, Stephanie M. Hu, Mingyu Lu, Yuria Utsumi, Prithwish Chakraborty, Daby M. Sow, Piyush Madan, Jun Li, Mohamed F. Ghalwash, Zach Shahn, Li-Wei H. Lehman

Proceedings of the Machine Learning for Health, 2021

Assessment of Sepsis in the ICU by Linear and Complex Characterization of Cardiovascular Dynamics.

Maximiliano Mollura, Li-Wei H. Lehman, Riccardo Barbieri

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020

Is Deep Reinforcement Learning Ready for Practical Applications in Healthcare? A Sensitivity Analysis of Duel-DDQN for Sepsis Treatment.

Mingyu Lu, Zachary Shahn, Daby Sow, Finale Doshi-Velez, Li-Wei H. Lehman

CoRR, 2020

G-Net: A Deep Learning Approach to G-computation for Counterfactual Outcome Prediction Under Dynamic Treatment Regimes.

Rui Li, Zach Shahn, Jun Li, Mingyu Lu, Prithwish Chakraborty, Daby Sow, Mohamed F. Ghalwash, Li-Wei H. Lehman

CoRR, 2020

Prediction of Septic Shock Onset in ICU by Instantaneous Monitoring of Vital Signs^*.

Maximiliano Mollura, Stefano Romano, Giulio Mantoan, Li-Wei H. Lehman, Riccardo Barbieri

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Assessment of Heart Rate Variability Derived From Blood Pressure Pulse Recordings in Intensive Care Unit Patients.

Maximiliano Mollura, Edoardo Maria Polo, Li-Wei H. Lehman, Riccardo Barbieri

Proceedings of the Computing in Cardiology, 2020

Is Deep Reinforcement Learning Ready for Practical Applications in Healthcare? A Sensitivity Analysis of Duel-DDQN for Hemodynamic Management in Sepsis Patients.

Mingyu Lu, Zachary Shahn, Daby Sow, Finale Doshi-Velez, Li-Wei H. Lehman

Proceedings of the AMIA 2020, 2020

Robust Low-Rank Discovery of Data-Driven Partial Differential Equations.

Jun Li, Gan Sun, Guoshuai Zhao, Li-Wei H. Lehman

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Retaining Privileged Information for Multi-Task Learning.

Fengyi Tang, Cao Xiao, Fei Wang, Jiayu Zhou, Li-Wei H. Lehman

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018

A Model-Based Machine Learning Approach to Probing Autonomic Regulation From Nonstationary Vital-Sign Time Series.

Li-Wei H. Lehman, Roger G. Mark, Shamim Nemati

IEEE J. Biomed. Health Informatics, 2018

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

Uma M. Girkar, Ryo Uchimido, Li-Wei H. Lehman, Peter Szolovits, Leo A. Celi, Wei-Hung Weng

CoRR, 2018

Evaluating Reinforcement Learning Algorithms in Observational Health Settings.

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

CoRR, 2018

Representation Learning Approaches to Detect False Arrhythmia Alarms from ECG Dynamics.

Eric P. Lehman, Rahul G. Krishnan, Xiaopeng Zhao, Roger G. Mark, Li-Wei H. Lehman

Proceedings of the Machine Learning for Healthcare Conference, 2018

Predicting and Understanding Unexpected Respiratory Decompensation in Critical Care Using Sparse and Heterogeneous Clinical Data.

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

Proceedings of the IEEE International Conference on Healthcare Informatics, 2018

The Role of Baroreflex Sensitivity in Acute Hypotensive Episodes Prediction in the Intensive Care Unit.

Giovanni Angelotti, Pierandrea Morandini, Li-Wei H. Lehman, Roger G. Mark, Riccardo Barbieri

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

You Snooze, You Win: The PhysioNet/Computing in Cardiology Challenge 2018.

Mohammad M. Ghassemi, Benjamin Moody, Li-Wei H. Lehman, Christopher Song, Qiao Li, Haoqi Sun, M. Brandon Westover, Gari D. Clifford

Proceedings of the Computing in Cardiology, 2018

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

Xuefeng Peng, Yi Ding, David Wihl, Omer Gottesman, Matthieu Komorowski, Li-Wei H. Lehman, Andrew Slavin Ross, Aldo Faisal, Finale Doshi-Velez

Proceedings of the AMIA 2018, 2018

2017

AF Classification from a Short Single Lead ECG Recording: the Physionet Computing in Cardiology Challenge 2017.

Gari D. Clifford, Chengyu Liu, Benjamin Moody, Li-Wei H. Lehman, Ikaro Silva, Qiao Li, Alistair E. W. Johnson, Roger G. Mark

Proceedings of the Computing in Cardiology, 2017

Estimating patient's health state using latent structure inferred from clinical time series and text.

Aaron Zalewski, William J. Long, Alistair E. W. Johnson, Roger G. Mark, Li-Wei H. Lehman

Proceedings of the 2017 IEEE EMBS International Conference on Biomedical & Health Informatics, 2017

Phenotyping hypotensive patients in critical care using hospital discharge summaries.

Yang Dai, Sharukh Lokhandwala, William J. Long, Roger G. Mark, Li-Wei H. Lehman

Proceedings of the 2017 IEEE EMBS International Conference on Biomedical & Health Informatics, 2017

2015

A Physiological Time Series Dynamics-Based Approach to Patient Monitoring and Outcome Prediction.

Li-Wei H. Lehman, Ryan P. Adams, Louis Mayaud, George B. Moody, Atul Malhotra, Roger G. Mark, Shamim Nemati

IEEE J. Biomed. Health Informatics, 2015

Hemodynamic Monitoring Using Switching Autoregressive Dynamics of Multivariate Vital Sign Time Series.

Li-Wei H. Lehman, Shamim Nemati, Roger G. Mark

Proceedings of the Computing in Cardiology, 2015

Patient Prognosis from Vital Sign Time Series: Combining Convolutional Neural Networks with a Dynamical Systems Approach.

Li-Wei H. Lehman, Mohammad M. Ghassemi, Jasper Snoek, Shamim Nemati

Proceedings of the Computing in Cardiology, 2015

2014

Latent topic discovery of clinical concepts from hospital discharge summaries of a heterogeneous patient cohort.

Li-Wei H. Lehman, William J. Long, Mohammed Saeed, Roger G. Mark

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Uncovering Clinical Significance of Vital Sign Dynamics in Critical Care.

Li-Wei H. Lehman, Shamim Nemati, George B. Moody, Thomas Heldt, Roger G. Mark

Proceedings of the Computing in Cardiology, CinC 2014, 2014

Global Optimization Approaches for Parameter Tuning in Biomedical Signal Processing: A Focus of Multi-scale Entropy.

Mohammad M. Ghassemi, Li-Wei H. Lehman, Jasper Snoek, Shamim Nemati

Proceedings of the Computing in Cardiology, CinC 2014, 2014

2013

Learning outcome-discriminative dynamics in multivariate physiological cohort time series.

Shamim Nemati, Li-Wei H. Lehman, Ryan P. Adams

Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

Tracking progression of patient state of health in critical care using inferred shared dynamics in physiological time series.

Li-Wei H. Lehman, Shamim Nemati, Ryan P. Adams, George B. Moody, Atul Malhotra, Roger G. Mark

Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

2012

Discovering shared cardiovascular dynamics within a patient cohort.

Shamim Nemati, Li-Wei H. Lehman, Ryan P. Adams, Atul Malhotra

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Discovering shared dynamics in physiological signals: Application to patient monitoring in ICU.

Li-Wei H. Lehman, Shamim Nemati, Ryan P. Adams, Roger G. Mark

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Risk Stratification of ICU Patients Using Topic Models Inferred from Unstructured Progress Notes.

Li-Wei H. Lehman, Mohammed Saeed, William J. Long, Joon Lee, Roger G. Mark

Proceedings of the AMIA 2012, 2012

2008

Automated de-identification of free-text medical records.

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

BMC Medical Informatics Decis. Mak., 2008

2006

A Decentralized Network Coordinate System for Robust Internet Distance.

Li-Wei H. Lehman, Steven Lerman

Proceedings of the Third International Conference on Information Technology: New Generations (ITNG 2006), 2006

2004

PCoord: Network Position Estimation Using Peer-to-Peer Measurements.

Li-Wei H. Lehman, Steven Lerman

Proceedings of the 3rd IEEE International Symposium on Network Computing and Applications (NCA 2004), 30 August, 2004

1998

Active Reliable Multicast.

Li-Wei H. Lehman, Stephen J. Garland, David L. Tennenhouse

Proceedings of the Proceedings IEEE INFOCOM '98, The Conference on Computer Communications, Seventeenth Annual Joint Conference of the IEEE Computer and Communications Societies, Gateway to the 21st Century, San Francisco, CA, USA, March 29, 1998