Li-Wei H. Lehman
Orcid: 0000-0002-3782-9977
According to our database1,
Li-Wei H. Lehman
authored at least 49 papers
between 1998 and 2024.
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Bibliography
2024
IEEE Trans. Biomed. Eng., April, 2024
G-Transformer: Counterfactual Outcome Prediction under Dynamic and Time-varying Treatment Regimes.
CoRR, 2024
2023
A Knowledge Distillation Approach for Sepsis Outcome Prediction from Multivariate Clinical Time Series.
CoRR, 2023
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.
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?
Proceedings of the Computing in Cardiology, 2023
2022
CoRR, 2022
Characterization of Physiologic Patients' Response to Fluid Interventions in the Intensive Care Unit.
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.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
Proceedings of the Computing in Cardiology, 2022
Optimal Fluid And Vasopressor Interventions In Septic ICU Patients Through Reinforcement Learning Model.
Proceedings of the Computing in Cardiology, 2022
PhysioTag: An Open-Source Platform for Collaborative Annotation of Physiological Waveforms.
Proceedings of the Computing in Cardiology, 2022
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.
CoRR, 2021
G-Net: a Recurrent Network Approach to G-Computation for Counterfactual Prediction Under a Dynamic Treatment Regime.
Proceedings of the Machine Learning for Health, 2021
Assessment of Sepsis in the ICU by Linear and Complex Characterization of Cardiovascular Dynamics.
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.
CoRR, 2020
G-Net: A Deep Learning Approach to G-computation for Counterfactual Outcome Prediction Under Dynamic Treatment Regimes.
CoRR, 2020
Prediction of Septic Shock Onset in ICU by Instantaneous Monitoring of Vital Signs<sup>*</sup>.
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.
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.
Proceedings of the AMIA 2020, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
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.
IEEE J. Biomed. Health Informatics, 2018
Predicting Blood Pressure Response to Fluid Bolus Therapy Using Attention-Based Neural Networks for Clinical Interpretability.
CoRR, 2018
CoRR, 2018
Representation Learning Approaches to Detect False Arrhythmia Alarms from ECG Dynamics.
Proceedings of the Machine Learning for Healthcare Conference, 2018
Predicting and Understanding Unexpected Respiratory Decompensation in Critical Care Using Sparse and Heterogeneous Clinical Data.
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.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
Proceedings of the Computing in Cardiology, 2018
Improving Sepsis Treatment Strategies by Combining Deep and Kernel-Based Reinforcement Learning.
Proceedings of the AMIA 2018, 2018
2017
AF Classification from a Short Single Lead ECG Recording: the Physionet Computing in Cardiology Challenge 2017.
Proceedings of the Computing in Cardiology, 2017
Estimating patient's health state using latent structure inferred from clinical time series and text.
Proceedings of the 2017 IEEE EMBS International Conference on Biomedical & Health Informatics, 2017
Phenotyping hypotensive patients in critical care using hospital discharge summaries.
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.
IEEE J. Biomed. Health Informatics, 2015
Hemodynamic Monitoring Using Switching Autoregressive Dynamics of Multivariate Vital Sign Time Series.
Proceedings of the Computing in Cardiology, 2015
Patient Prognosis from Vital Sign Time Series: Combining Convolutional Neural Networks with a Dynamical Systems Approach.
Proceedings of the Computing in Cardiology, 2015
2014
Latent topic discovery of clinical concepts from hospital discharge summaries of a heterogeneous patient cohort.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
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.
Proceedings of the Computing in Cardiology, CinC 2014, 2014
2013
Learning outcome-discriminative dynamics in multivariate physiological cohort time series.
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.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
2012
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.
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.
Proceedings of the AMIA 2012, 2012
2008
BMC Medical Informatics Decis. Mak., 2008
2006
Proceedings of the Third International Conference on Information Technology: New Generations (ITNG 2006), 2006
2004
Proceedings of the 3rd IEEE International Symposium on Network Computing and Applications (NCA 2004), 30 August, 2004
1998
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