Li-Wei H. Lehman

发表

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

Mohammed Saeed, Li-Wei H. Lehman, William J. Long, 2012, AMIA.

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

Shamim Nemati, Ryan P. Adams, Li-Wei H. Lehman, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

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

Shamim Nemati, Ryan P. Adams, Li-Wei H. Lehman, 2014, IEEE Journal of Biomedical and Health Informatics.

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

Peter Szolovits, Li-Wei H. Lehman, Wei-Hung Weng, 2018, ArXiv.

Patient prognosis from vital sign time series: Combining convolutional neural networks with a dynamical systems approach

Shamim Nemati, Jasper Snoek, Li-Wei H. Lehman, 2015, 2015 Computing in Cardiology Conference (CinC).

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

Andrew Slavin Ross, Finale Doshi-Velez, Li-Wei H. Lehman, 2018, AMIA.

Automated de-identification of free-text medical records

Peter Szolovits, Li-Wei H. Lehman, William J. Long, 2008, BMC Medical Informatics Decis. Mak..

Learning outcome-discriminative dynamics in multivariate physiological cohort time series

Shamim Nemati, Ryan P. Adams, Li-Wei H. Lehman, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Phenotyping hypotensive patients in critical care using hospital discharge summaries

Li-Wei H. Lehman, William J. Long, Roger G. Mark, 2017, 2017 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI).

Representation Learning Approaches to Detect False Arrhythmia Alarms from ECG Dynamics

Li-Wei H. Lehman, Roger G. Mark, Xiaopeng Zhao, 2018, MLHC.

Uncovering clinical significance of vital sign dynamics in critical care

Shamim Nemati, Li-Wei H. Lehman, Roger G. Mark, 2014, Computing in Cardiology 2014.

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

Li-Wei H. Lehman, Roger G. Mark, Matthieu Komorowski, 2018, 2018 IEEE International Conference on Healthcare Informatics (ICHI).

Global optimization approaches for parameter tuning in biomedical signal processing: A focus on multi-scale entropy

Shamim Nemati, Jasper Snoek, Li-Wei H. Lehman, 2014, Computing in Cardiology 2014.

Active reliable multicast

Stephen J. Garland, Li-Wei H. Lehman, David L. Tennenhouse, 1998, 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 (Cat. No.98.

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

Qiao Li, Li-Wei H. Lehman, Haoqi Sun, 2018, 2018 Computing in Cardiology Conference (CinC).

Evaluating Reinforcement Learning Algorithms in Observational Health Settings pdf

Srivatsan Srinivasan, Finale Doshi-Velez, Li-Wei H. Lehman, 2018, ArXiv.

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

Mohammed Saeed, Li-Wei H. Lehman, William J. Long, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

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

Shamim Nemati, Ryan P. Adams, Li-Wei H. Lehman, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

AF classification from a short single lead ECG recording: The PhysioNet/computing in cardiology challenge 2017

Qiao Li, Li-Wei H. Lehman, Roger G. Mark, 2017, 2017 Computing in Cardiology (CinC).

Hemodynamic monitoring using switching autoregressive dynamics of multivariate vital sign time series

Shamim Nemati, Li-Wei H. Lehman, Roger G. Mark, 2015, 2015 Computing in Cardiology Conference (CinC).

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

Riccardo Barbieri, Li-Wei H. Lehman, Roger G. Mark, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

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

Aaron Zalewski, Li-Wei H. Lehman, William J. Long, 2017, 2017 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI).

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

Li-Wei H. Lehman, Riccardo Barbieri, Maximiliano Mollura, 2021, 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).