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Association of systolic, diastolic, mean, and pulse pressure with morbidity and mortality in septic ICU patients: a nationwide observational study

Annals of intensive care, 2023-02, Vol.13 (1), p.9-9, Article 9

2023

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Generalizing Hemodynamic Instability Prediction in International ICU Patients

Chest, 2016-10, Vol.150 (4), p.356A-356A

2016

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Machine learning-based clinical decision support for infection risk prediction

Frontiers in medicine, 2023-12, Vol.10, p.1213411-1213411

2023

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Description of vital signs data measurement frequency in a medical/surgical unit at a community hospital in United States

Data in brief, 2018-02, Vol.16, p.612-616

2018

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Spatio-temporal attributes of left ventricular pressure decay rate during isovolumic relaxation

American journal of physiology. Heart and circulatory physiology, 2012-03, Vol.302 (5), p.H1094-H1101

2012

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A Retrospective Cohort Study of Clinical Factors Associated with Transitions of Care among COVID-19 Patients

Journal of clinical medicine, 2021-10, Vol.10 (19), p.4605

2021

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Automated Continuous Acute Kidney Injury Prediction and Surveillance: A Random Forest Model

Mayo Clinic proceedings, 2019-05, Vol.94 (5), p.783-792

2019

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The quest for load-independent left ventricular chamber properties: Exploring the normalized pressure phase plane

Physiological reports, 2013-08, Vol.1 (3)

2013

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Early Deterioration Indicator: Data-driven approach to detecting deterioration in general ward

Resuscitation, 2018-01, Vol.122, p.99-105

2018

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Automated Continuous Acute Kidney Injury Prediction and Surveillance: A Random Forest Model

Mayo Clinic proceedings, 2019-05, Vol.94 (5), p.783

2019

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Diastolic function alteration mechanisms in physiologic hypertrophy versus pathologic hypertrophy are elucidated by model-based Doppler E-wave analysis

Journal of exercise science and fitness, 2014-12, Vol.12 (2), p.88-95

2014

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Impact of a computerized decision support tool deployed in two intensive care units on acute kidney injury progression and guideline compliance: a prospective observational study

Critical care (London, England), 2020-11, Vol.24 (1), p.1-656, Article 656

2020

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LONGITUDINAL AND TRANSVERSE IMPEDANCE CAN QUANTIFY LEFT VENTRICULAR DIASTOLIC FUNCTION

Journal of the American College of Cardiology, 2012-03, Vol.59 (13), p.E1063-E1063

2012

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950: CALCULATION OF SHIFTWISE ICU SEDATIVE/ANALGESIC DOSING: CUSTOMIZED ALGORITHM FOR MIMIC III

Critical care medicine, 2018-01, Vol.46 (1 Suppl 1), p.458-458

2018

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57: DIURNAL VARIATION IN SEDATIVE AND ANALGESIC USE IN ICUs: A RETROSPECTIVE COHORT STUDY

Critical care medicine, 2018-01, Vol.46 (1 Suppl 1), p.29-29

2018

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Accurate and interpretable prediction of ICU-acquired AKI

Journal of critical care, 2023-06, Vol.75, p.154278-154278, Article 154278

2023

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Predicting acute kidney injury in critically ill patients using comorbid conditions utilizing machine learning

Clinical kidney journal, 2021-05, Vol.14 (5), p.1428-1435

2021

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1354: ACUTE KIDNEY INJURY (AKI) PROGRESSION DURING THE FIRST FIVE DAYS OF AN ICU STAY

Critical care medicine, 2018-01, Vol.46 (1 Suppl 1), p.660-660

2018

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Low-sodium DASH diet improves diastolic function and ventricular-arterial coupling in hypertensive heart failure with preserved ejection fraction

Circulation. Heart failure, 2013-11, Vol.6 (6), p.1165-1171

2013

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Estimation of Baseline Serum Creatinine with Machine Learning

American journal of nephrology, 2021-11, Vol.52 (9), p.753-762

2021

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Spatio-temporal attributes of left ventricular pressure decay rate during isovolumic relaxation

American journal of physiology. Heart and circulatory physiology, 2012, Vol.71 (3)

2012

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Including urinary output to define AKI enhances the performance of machine learning models to predict AKI at admission

Journal of critical care, 2021-04, Vol.62, p.283-288

2021

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E-wave generated intraventricular diastolic vortex to L-wave relation: model-based prediction with in vivo validation

Journal of applied physiology (1985), 2014-08, Vol.117 (3), p.316-324

2014

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Vortex formation time-to-left ventricular early rapid filling relation: model-based prediction with echocardiographic validation

Journal of applied physiology (1985), 2010-12, Vol.109 (6), p.1812-1819

2010

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Early Left Ventricular Diastolic Function Quantitation Using Directional Impedances

Annals of biomedical engineering, 2013-06, Vol.41 (6), p.1269-1278

2013

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Association of systolic, diastolic, mean, and pulse pressure with morbidity and mortality in septic ICU patients: a nationwide observational study

Generalizing Hemodynamic Instability Prediction in International ICU Patients

Machine learning-based clinical decision support for infection risk prediction

Description of vital signs data measurement frequency in a medical/surgical unit at a community hospital in United States

Spatio-temporal attributes of left ventricular pressure decay rate during isovolumic relaxation

A Retrospective Cohort Study of Clinical Factors Associated with Transitions of Care among COVID-19 Patients

Automated Continuous Acute Kidney Injury Prediction and Surveillance: A Random Forest Model

The quest for load-independent left ventricular chamber properties: Exploring the normalized pressure phase plane

Early Deterioration Indicator: Data-driven approach to detecting deterioration in general ward

Automated Continuous Acute Kidney Injury Prediction and Surveillance: A Random Forest Model

Diastolic function alteration mechanisms in physiologic hypertrophy versus pathologic hypertrophy are elucidated by model-based Doppler E-wave analysis

Impact of a computerized decision support tool deployed in two intensive care units on acute kidney injury progression and guideline compliance: a prospective observational study

LONGITUDINAL AND TRANSVERSE IMPEDANCE CAN QUANTIFY LEFT VENTRICULAR DIASTOLIC FUNCTION

950: CALCULATION OF SHIFTWISE ICU SEDATIVE/ANALGESIC DOSING: CUSTOMIZED ALGORITHM FOR MIMIC III

57: DIURNAL VARIATION IN SEDATIVE AND ANALGESIC USE IN ICUs: A RETROSPECTIVE COHORT STUDY

Accurate and interpretable prediction of ICU-acquired AKI

Predicting acute kidney injury in critically ill patients using comorbid conditions utilizing machine learning

1354: ACUTE KIDNEY INJURY (AKI) PROGRESSION DURING THE FIRST FIVE DAYS OF AN ICU STAY

Low-sodium DASH diet improves diastolic function and ventricular-arterial coupling in hypertensive heart failure with preserved ejection fraction

Estimation of Baseline Serum Creatinine with Machine Learning

Spatio-temporal attributes of left ventricular pressure decay rate during isovolumic relaxation

Including urinary output to define AKI enhances the performance of machine learning models to predict AKI at admission

E-wave generated intraventricular diastolic vortex to L-wave relation: model-based prediction with in vivo validation

Vortex formation time-to-left ventricular early rapid filling relation: model-based prediction with echocardiographic validation

Early Left Ventricular Diastolic Function Quantitation Using Directional Impedances

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