J Randall Moorman

J Randall Moorman

University of Virginia

H-index: 61

North America-United States

About J Randall Moorman

J Randall Moorman, With an exceptional h-index of 61 and a recent h-index of 37 (since 2020), a distinguished researcher at University of Virginia, specializes in the field of Predictive analytics monitoring for early detection of clinical deterioration.

His recent articles reflect a diverse array of research interests and contributions to the field:

Age Prediction From 12-lead Electrocardiograms Using Deep Learning: A Comparison of Four Models on a Contemporary, Freely Available Dataset

Cardiorespiratory Dynamics During Prone Positioning for Severe Ards: A Retrospective Cohort Study

Labored breathing pattern: an unmeasured dimension of respiratory pathophysiology

Pathophysiological Responses to Bloodstream Infection in Critically Ill Transplant Recipients Compared With Non-Transplant Recipients

Maturation of cardioventilatory physiological trajectories in extremely preterm infants

Apnea, Intermittent Hypoxemia, and Bradycardia Events Predict Late-Onset Sepsis in Extremely Preterm Infants

Prospective validation of clinical deterioration predictive models prior to intensive care unit transfer among patients admitted to acute care cardiology wards

Cardiorespiratory monitoring data to predict respiratory outcomes in extremely preterm infants

J Randall Moorman Information

University

Position

___

Citations(all)

21441

Citations(since 2020)

8868

Cited By

16045

hIndex(all)

61

hIndex(since 2020)

37

i10Index(all)

156

i10Index(since 2020)

90

Email

University Profile Page

Google Scholar

J Randall Moorman Skills & Research Interests

Predictive analytics monitoring for early detection of clinical deterioration

Top articles of J Randall Moorman

Title

Journal

Author(s)

Publication Date

Age Prediction From 12-lead Electrocardiograms Using Deep Learning: A Comparison of Four Models on a Contemporary, Freely Available Dataset

medRxiv

Andrew Barros

Ian German-Mesner

N Rich Nguyen

J Randall Moorman

2024

Cardiorespiratory Dynamics During Prone Positioning for Severe Ards: A Retrospective Cohort Study

medRxiv

Andrew Barros

Seung Wook Lee

J Randall Moorman

2024

Labored breathing pattern: an unmeasured dimension of respiratory pathophysiology

medRxiv

Valerie E Cyphers

Swet M Patel

Brendan D McNamara

William B Ashe

Sarah J Ratcliffe

...

2024

Pathophysiological Responses to Bloodstream Infection in Critically Ill Transplant Recipients Compared With Non-Transplant Recipients

Clinical Infectious Diseases

Jiaxing Qiu

Alex N Zimmet

Taison D Bell

Shrirang Gadrey

Jackson Brandberg

...

2023/10/27

Maturation of cardioventilatory physiological trajectories in extremely preterm infants

Pediatric research

Debra E Weese-Mayer

Juliann M Di Fiore

Douglas E Lake

Anna Maria Hibbs

Nelson Claure

...

2024/3

Apnea, Intermittent Hypoxemia, and Bradycardia Events Predict Late-Onset Sepsis in Extremely Preterm Infants

The Journal of Pediatrics

Sherry L Kausch

Douglas E Lake

Juliann M Di Fiore

Debra E Weese-Mayer

Nelson Claure

...

2024/4/2

Prospective validation of clinical deterioration predictive models prior to intensive care unit transfer among patients admitted to acute care cardiology wards

medRxiv

Jessica Keim-Malpass

Liza Prudente Moorman

J Randall Moorman

Susan Hamil

Gholamreza Yousevfand

...

2023

Cardiorespiratory monitoring data to predict respiratory outcomes in extremely preterm infants

American journal of respiratory and critical care medicine

Namasivayam Ambalavanan

Debra E Weese-Mayer

Anna Maria Hibbs

Nelson Claure

John L Carroll

...

2023/7/1

Kinematic signature of high-risk labored breathing revealed by novel signal analysis

medRxiv

William B Ashe

Brendan D McNamara

Swet M Patel

Julia N Shanno

Sarah E Innis

...

2023

Cardiorespiratory signature of neonatal sepsis: development and validation of prediction models in 3 NICUs

Pediatric research

Sherry L Kausch

Jackson G Brandberg

Jiaxing Qiu

Aneesha Panda

Alexandra Binai

...

2023/6

Overt and occult hypoxemia in patients hospitalized with COVID-19

medRxiv

Shrirang M Gadrey

Piyus Mohanty

Sean P Haughey

Beck A Jacobsen

Kira J Dubester

...

2022/6/16

A novel predictive analytics score reflecting accumulating disease burden—an investigation of the cumulative CoMET score

Physiological Measurement

Oliver Monfredi

Robert T Andris

Douglas E Lake

J Randall Moorman

2023/5/23

Accuracy of a Risk Alert Threshold for ICU Hypoglycemia: Retrospective Analysis of Alert Performance and Association With Clinical Deterioration Events

Critical Care Medicine

William B Horton

Elaine E Hannah

Frances L Morales

Cherie R Chaney

Katy N Krahn

...

2023/1/1

Neighborhood deprivation and association with neonatal intensive care unit mortality and morbidity for extremely premature infants

JAMA network open

Brynne A Sullivan

Ayush Doshi

Pavel Chernyavskiy

Ameena Husain

Alexandra Binai

...

2023/5/1

Race, Class, and Place Modify Mortality Rates for the Leading Causes of Death in the United States, 1999–2021

Journal of general internal medicine

Allison Formanack

Ayush Doshi

Rupa Valdez

Ishan Williams

J Randall Moorman

...

2023/9

Cardiorespiratory Physiological Trajectories in Extremely Preterm Infants

DE Weese-Mayer

JM Di Fiore

DG Lake

AM Hibbs

N Claure

...

2023/5

Continuous ECG monitoring should be the heart of bedside AI-based predictive analytics monitoring for early detection of clinical deterioration

Oliver J Monfredi

Christopher C Moore

Brynne A Sullivan

Jessica Keim-Malpass

Karen D Fairchild

...

2023/1/1

Methods, systems, and computer readable media for analyzing respiratory kinematics

2023/8/24

System and method for improved cardiac rhythm classification from the time between heart beat intervals using non-linear dynamics

2022/10/20

Predictive analytics that reflect disease burden–the cumulative COMET score

medRxiv

Oliver Monfredi

Robert T Andris

Douglas E Lake

J Randall Moorman

2022/6/5

See List of Professors in J Randall Moorman University(University of Virginia)

Co-Authors

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