Li-wei H Lehman - Citegraph

Author Info

Name	Affiliation	Papers
LI-WEI H LEHMAN	Laboratory for Computational Physiology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA\|Harvard-MIT Division of Health Sciences & Technology, Cambridge, MA 02139, USA	23
Collaborators	Citations	PageRank
82	192	18.54
Referers	Referees	References
709	190	64

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100709

Publications (23 rows)

Collaborators (82 rows)

Referers (100 rows)

Referees (100 rows)

Title	Citations	PageRank	Year
Characterization of Physiologic Patients' Response to Fluid Interventions in the Intensive Care Unit.	0	0.34	2022
A Reinforcement Learning Application for Optimal Fluid and Vasopressor Interventions in Septic ICU Patients	0	0.34	2022
Prediction Of Septic Shock Onset In Icu By Instantaneous Monitoring Of Vital Signs	0	0.34	2020
Retaining Privileged Information for Multi-Task Learning	0	0.34	2019
The Role of Baroreflex Sensitivity in Acute Hypotensive Episodes Prediction in the Intensive Care Unit.	0	0.34	2018
Predicting Blood Pressure Response to Fluid Bolus Therapy Using Attention-Based Neural Networks for Clinical Interpretability.	0	0.34	2018
Improving Sepsis Treatment Strategies by Combining Deep and Kernel-Based Reinforcement Learning.	0	0.34	2018
Evaluating Reinforcement Learning Algorithms in Observational Health Settings.	0	0.34	2018
Representation Learning Approaches to Detect False Arrhythmia Alarms from ECG Dynamics.	0	0.34	2018
You Snooze, You Win: the PhysioNet/Computing in Cardiology Challenge 2018	3	0.42	2018
A Model-Based Machine Learning Approach to Probing Autonomic Regulation From Nonstationary Vital-Sign Time Series.	0	0.34	2018
Predicting and Understanding Unexpected Respiratory Decompensation in Critical Care Using Sparse and Heterogeneous Clinical Data	0	0.34	2018
AF classification from a short single lead ECG recording: The PhysioNet/computing in cardiology challenge 2017	26	1.58	2017
A Physiological Time Series Dynamics-Based Approach to Patient Monitoring and Outcome Prediction	14	1.56	2015
Uncovering clinical significance of vital sign dynamics in critical care	0	0.34	2014
Learning outcome-discriminative dynamics in multivariate physiological cohort time series.	3	0.43	2013
Tracking Progression Of Patient State Of Health In Critical Care Using Inferred Shared Dynamics In Physiological Time Series	2	0.56	2013
Risk stratification of ICU patients using topic models inferred from unstructured progress notes.	17	1.57	2012
Discovering Shared Cardiovascular Dynamics Within A Patient Cohort	2	0.53	2012
Discovering Shared Dynamics In Physiological Signals: Application To Patient Monitoring In Icu	6	1.36	2012
Automated de-identification of free-text medical records.	88	5.01	2008
A Decentralized Network Coordinate System for Robust Internet Distance	7	0.44	2006
PCoord: Network Position Estimation Using Peer-to-Peer Measurements	24	1.01	2004