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The Artificial Intelligence Clinician learns optimal treatment strategies for sepsis in intensive care

Nature medicine, 2018-11, Vol.24 (11), p.1716-1720

2018

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Comparing deep learning and concept extraction based methods for patient phenotyping from clinical narratives

PloS one, 2018-02, Vol.13 (2), p.e0192360-e0192360

2018

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Tensor Networks for Lattice Gauge Theories with Continuous Groups

Physical review. X, 2014-11, Vol.4 (4), p.041024, Article 041024

2014

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A Comparative Analysis of Sepsis Identification Methods in an Electronic Database

Critical care medicine, 2018-04, Vol.46 (4), p.494-499

2018

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The eICU Collaborative Research Database, a freely available multi-center database for critical care research

Scientific data, 2018-09, Vol.5 (1), p.180178-180178, Article 180178

2018

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MIMIC-IV, a freely accessible electronic health record dataset

Scientific data, 2023-01, Vol.10 (1), p.1-1, Article 1

2023

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Synthetic gauge fields in synthetic dimensions

Physical review letters, 2014-01, Vol.112 (4), p.043001-043001, Article 043001

2014

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Quantum simulation of an extra dimension

Physical review letters, 2012-03, Vol.108 (13), p.133001-133001, Article 133001

2012

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Simulation of non-Abelian gauge theories with optical lattices

Nature communications, 2013-10, Vol.4 (1), p.2615-2615, Article 2615

2013

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The PLOS ONE collection on machine learning in health and biomedicine: Towards open code and open data

PloS one, 2019-01, Vol.14 (1), p.e0210232-e0210232

2019

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Clinical artificial intelligence quality improvement: towards continual monitoring and updating of AI algorithms in healthcare

NPJ digital medicine, 2022-05, Vol.5 (1), p.66-66, Article 66

2022

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Optical Abelian lattice gauge theories

Annals of physics, 2013-03, Vol.330, p.160-191

2013

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Excited-state quantum phase transitions in spin-orbit-coupled Bose gases

Physical review research, 2021-12, Vol.3 (4), Article 043215

2021

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Dirac equation for cold atoms in artificial curved spacetimes

New journal of physics, 2011-03, Vol.13 (3), p.035002

2011

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Association between fluid balance and survival in critically ill patients

Journal of internal medicine, 2015-04, Vol.277 (4), p.468-477

2015

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Optimal intensive care outcome prediction over time using machine learning

PloS one, 2018-11, Vol.13 (11), p.e0206862-e0206862

2018

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Prediction of extended period of vasopressor infusion requiring central venous catheterisation: A burning issue in critical care

Anaesthesia and intensive care, 2021-07, Vol.49 (4), p.250-252

2021

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Cardio-pulmonary-renal interactions in ICU patients. Role of mechanical ventilation, venous congestion and perfusion deficit on worsening of renal function: Insights from the MIMIC-III database

Journal of critical care, 2021-08, Vol.64, p.100-107

2021

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Acute kidney injury detection using refined and physiological-feature augmented urine output

Scientific reports, 2021-10, Vol.11 (1), p.19561-19561, Article 19561

2021

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Author Correction: Acute kidney injury detection using refined and physiological-feature augmented urine output

Scientific reports, 2021-11, Vol.11 (1), p.22249-22249, Article 22249

2021

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Synthesis of Majorana mass terms in low-energy quantum systems

New journal of physics, 2018-06, Vol.20 (6), p.63032

2018

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Machine Learning for Pulmonary and Critical Care Medicine: A Narrative Review

Pulmonary therapy, 2020-06, Vol.6 (1), p.67-77

2020

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Applied artificial intelligence for global child health: Addressing biases and barriers

PLOS digital health, 2024-08, Vol.3 (8), p.e0000583

2024

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Optimized Risk Score to Predict Mortality in Patients With Cardiogenic Shock in the Cardiac Intensive Care Unit

Journal of the American Heart Association, 2023-07, Vol.12 (13), p.e029232-e029232

2023

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The advent of medical artificial intelligence: lessons from the Japanese approach

Journal of intensive care, 2020-05, Vol.8 (1), p.35-35, Article 35

2020

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The Artificial Intelligence Clinician learns optimal treatment strategies for sepsis in intensive care

Comparing deep learning and concept extraction based methods for patient phenotyping from clinical narratives

Tensor Networks for Lattice Gauge Theories with Continuous Groups

A Comparative Analysis of Sepsis Identification Methods in an Electronic Database

The eICU Collaborative Research Database, a freely available multi-center database for critical care research

MIMIC-IV, a freely accessible electronic health record dataset

Synthetic gauge fields in synthetic dimensions

Quantum simulation of an extra dimension

Simulation of non-Abelian gauge theories with optical lattices

The PLOS ONE collection on machine learning in health and biomedicine: Towards open code and open data

Clinical artificial intelligence quality improvement: towards continual monitoring and updating of AI algorithms in healthcare

Optical Abelian lattice gauge theories

Excited-state quantum phase transitions in spin-orbit-coupled Bose gases

Dirac equation for cold atoms in artificial curved spacetimes

Association between fluid balance and survival in critically ill patients

Optimal intensive care outcome prediction over time using machine learning

Prediction of extended period of vasopressor infusion requiring central venous catheterisation: A burning issue in critical care

Cardio-pulmonary-renal interactions in ICU patients. Role of mechanical ventilation, venous congestion and perfusion deficit on worsening of renal function: Insights from the MIMIC-III database

Acute kidney injury detection using refined and physiological-feature augmented urine output

Author Correction: Acute kidney injury detection using refined and physiological-feature augmented urine output

Synthesis of Majorana mass terms in low-energy quantum systems

Machine Learning for Pulmonary and Critical Care Medicine: A Narrative Review

Applied artificial intelligence for global child health: Addressing biases and barriers

Optimized Risk Score to Predict Mortality in Patients With Cardiogenic Shock in the Cardiac Intensive Care Unit

The advent of medical artificial intelligence: lessons from the Japanese approach

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