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Two-Step Imputation and AdaBoost-Based Classification for Early Prediction of Sepsis on Imbalanced Clinical Data

Critical care medicine, 2021-01, Vol.49 (1), p.e91

2021

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Cognitive Tomography Reveals Complex, Task-Independent Mental Representations

Current biology, 2013-11, Vol.23 (21), p.2169-2175

2013

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Using a data-driven approach to define post-COVID conditions in US electronic health record data

PloS one, 2024-04, Vol.19 (4), p.e0300570-e0300570

2024

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Real-time extended psychophysiological analysis of financial risk processing

PloS one, 2022-07, Vol.17 (7), p.e0269752-e0269752

2022

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Radiomics characterization of tissues in an animal brain tumor model imaged using dynamic contrast enhanced (DCE) MRI

Scientific reports, 2023-07, Vol.13 (1), p.10693-10693, Article 10693

2023

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One-year mortality after recovery from critical illness: A retrospective cohort study

PloS one, 2018-05, Vol.13 (5), p.e0197226-e0197226

2018

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Dynamic contrast enhanced (DCE) MRI estimation of vascular parameters using knowledge-based adaptive models

Scientific reports, 2023-06, Vol.13 (1), p.9672-9672, Article 9672

2023

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Patient-Specific Sedation Management via Deep Reinforcement Learning

Frontiers in digital health, 2021-03, Vol.3, p.608893-608893

2021

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Unsupervised EEG Artifact Detection and Correction

Frontiers in digital health, 2021-01, Vol.2, p.608920-608920

2021

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Machine Learning and Decision Support in Critical Care

Proceedings of the IEEE, 2016-02, Vol.104 (2), p.444-466

2016

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The International Cardiac Arrest Research Consortium Electroencephalography Database

Critical care medicine, 2023-12, Vol.51 (12), p.1802

2023

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Monitoring and detecting atrial fibrillation using wearable technology

2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016, Vol.2016, p.3394-3397

2016

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IEEE_Xplore

Quantitative EEG reactivity and machine learning for prognostication in hypoxic-ischemic brain injury

Clinical neurophysiology, 2019-10, Vol.130 (10), p.1908-1916

2019

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Estimating the False Positive Rate of Absent Somatosensory Evoked Potentials in Cardiac Arrest Prognostication

Critical care medicine, 2018-12, Vol.46 (12), p.e1213-e1221

2018

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Management of Atrial Fibrillation with Rapid Ventricular Response in the Intensive Care Unit: A Secondary Analysis of Electronic Health Record Data

Shock (Augusta, Ga.), 2017-10, Vol.48 (4), p.436-440

2017

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Quantitative Electroencephalogram Trends Predict Recovery in Hypoxic-Ischemic Encephalopathy

Critical care medicine, 2019-10, Vol.47 (10), p.1416

2019

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An ICA with reference approach in identification of genetic variation and associated brain networks

Frontiers in human neuroscience, 2012-02, Vol.6, p.21-21

2012

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Neurophysiology State Dynamics Underlying Acute Neurologic Recovery After Cardiac Arrest

Neurology, 2023-08, Vol.101 (9), p.e940

2023

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Cost-effectiveness analysis of multimodal prognostication in cardiac arrest with EEG monitoring

Neurology, 2020-08, Vol.95 (5), p.e563

2020

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A data-driven approach to optimized medication dosing: a focus on heparin

Intensive care medicine, 2014-09, Vol.40 (9), p.1332-1339

2014

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Automation of Protocoling Advanced MSK Examinations Using Natural Language Processing Techniques

AMIA Summits on Translational Science proceedings, 2023, Vol.2023, p.118-127

2023

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Feature Imitating Networks

ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022, p.4128-4132

2022

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IEEE_Xplore

Optimal medication dosing from suboptimal clinical examples: A deep reinforcement learning approach

2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016, Vol.2016, p.2978-2981

2016

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IEEE_Xplore

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

2018 Computing in Cardiology Conference (CinC), 2018, Vol.45, p.1-4

2018

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IEEE_Xplore

Artifact Detection and Correction in EEG data: A Review

2021 10th International IEEE/EMBS Conference on Neural Engineering (NER), 2021, p.495-498

2021

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IEEE_Xplore

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Two-Step Imputation and AdaBoost-Based Classification for Early Prediction of Sepsis on Imbalanced Clinical Data

Cognitive Tomography Reveals Complex, Task-Independent Mental Representations

Using a data-driven approach to define post-COVID conditions in US electronic health record data

Real-time extended psychophysiological analysis of financial risk processing

Radiomics characterization of tissues in an animal brain tumor model imaged using dynamic contrast enhanced (DCE) MRI

One-year mortality after recovery from critical illness: A retrospective cohort study

Dynamic contrast enhanced (DCE) MRI estimation of vascular parameters using knowledge-based adaptive models

Patient-Specific Sedation Management via Deep Reinforcement Learning

Unsupervised EEG Artifact Detection and Correction

Machine Learning and Decision Support in Critical Care

The International Cardiac Arrest Research Consortium Electroencephalography Database

Monitoring and detecting atrial fibrillation using wearable technology

Quantitative EEG reactivity and machine learning for prognostication in hypoxic-ischemic brain injury

Estimating the False Positive Rate of Absent Somatosensory Evoked Potentials in Cardiac Arrest Prognostication

Management of Atrial Fibrillation with Rapid Ventricular Response in the Intensive Care Unit: A Secondary Analysis of Electronic Health Record Data

Quantitative Electroencephalogram Trends Predict Recovery in Hypoxic-Ischemic Encephalopathy

An ICA with reference approach in identification of genetic variation and associated brain networks

Neurophysiology State Dynamics Underlying Acute Neurologic Recovery After Cardiac Arrest

Cost-effectiveness analysis of multimodal prognostication in cardiac arrest with EEG monitoring

A data-driven approach to optimized medication dosing: a focus on heparin

Automation of Protocoling Advanced MSK Examinations Using Natural Language Processing Techniques

Feature Imitating Networks

Optimal medication dosing from suboptimal clinical examples: A deep reinforcement learning approach

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

Artifact Detection and Correction in EEG data: A Review

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