Publications by authors named "Jacob Calvert"

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A local-global principle for nonequilibrium steady states.
Jacob Calvert, Dana Randall

Proc Natl Acad Sci U S A· October 2024

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Massive external validation of a machine learning algorithm to predict pulmonary embolism in hospitalized patients.
Jieru Shen, Satish Casie Chetty, Sepideh Shokouhi, Jenish Maharjan, Yevheniy Chuba, Jacob Calvert

Thromb Res· August 2022

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Machine learning early prediction of respiratory syncytial virus in pediatric hospitalized patients.
Chak Foon Tso, Carson Lam, Jacob Calvert, Qingqing Mao

Front Pediatr· August 2022

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Mortality, disease progression, and disease burden of acute kidney injury in alcohol use disorder subpopulation.
Jenish Maharjan, Sidney Le, Abigail Green-Saxena, Manan Khattar, Jacob Calvert

Am J Med Sci· July 2022

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Early prediction of central line associated bloodstream infection using machine learning.
Keyvan Rahmani, Anurag Garikipati, Gina Barnes, Jana Hoffman, Jacob Calvert

Am J Infect Control· April 2022

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Predicting Falls in Long-term Care Facilities: Machine Learning Study.
Rahul Thapa, Anurag Garikipati, Sepideh Shokouhi, Myrna Hurtado, Gina Barnes, Jacob Calvert

JMIR Aging· April 2022

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A comparative analysis of machine learning approaches to predict C. difficile infection in hospitalized patients.
Saarang Panchavati, Nicole S Zelin, Anurag Garikipati, Emily Pellegrini, Zohora Iqbal, Jacob Calvert

Am J Infect Control· March 2022

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Machine learning to predict progression of non-alcoholic fatty liver to non-alcoholic steatohepatitis or fibrosis.
Sina Ghandian, Rahul Thapa, Anurag Garikipati, Gina Barnes, Abigail Green-Saxena, Jacob Calvert

JGH Open· March 2022

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Enriching the Study Population for Ischemic Stroke Therapeutic Trials Using a Machine Learning Algorithm.
Jenish Maharjan, Yasha Ektefaie, Logan Ryan, Samson Mataraso, Gina Barnes, Jacob Calvert

Front Neurol· January 2022

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Predicting pulmonary embolism among hospitalized patients with machine learning algorithms.
Logan Ryan, Jenish Maharjan, Samson Mataraso, Gina Barnes, Jana Hoffman, Jacob Calvert

Pulm Circ· January 2022

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Application of deep learning to identify COVID-19 infection in posteroanterior chest X-rays.
Jenish Maharjan, Jacob Calvert, Emily Pellegrini, Abigail Green-Saxena, Jana Hoffman

Clin Imaging· December 2021

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Retrospective validation of a machine learning clinical decision support tool for myocardial infarction risk stratification.
Saarang Panchavati, Carson Lam, Nicole S Zelin, Emily Pellegrini, Gina Barnes, Jacob Calvert

Healthc Technol Lett· December 2021

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A Machine Learning Approach to Predict Deep Venous Thrombosis Among Hospitalized Patients.
Logan Ryan, Samson Mataraso, Anna Siefkas, Emily Pellegrini, Gina Barnes, Jacob Calvert

Clin Appl Thromb Hemost· October 2021

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Personalized stratification of hospitalization risk amidst COVID-19: A machine learning approach.
Carson Lam, Jacob Calvert, Anna Siefkas, Gina Barnes, Emily Pellegrini

Health Policy Technol· September 2021

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Semisupervised Deep Learning Techniques for Predicting Acute Respiratory Distress Syndrome From Time-Series Clinical Data: Model Development and Validation Study.
Carson Lam, Chak Foon Tso, Abigail Green-Saxena, Emily Pellegrini, Zohora Iqbal, Jacob Calvert

JMIR Form Res· September 2021

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Predicting ventilator-associated pneumonia with machine learning.
Christine Giang, Jacob Calvert, Keyvan Rahmani, Gina Barnes, Anna Siefkas

Medicine (Baltimore)· June 2021

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Machine Learning as a Precision-Medicine Approach to Prescribing COVID-19 Pharmacotherapy with Remdesivir or Corticosteroids.
Carson Lam, Anna Siefkas, Nicole S Zelin, Gina Barnes, R Phillip Dellinger, Jacob Calvert

Clin Ther· May 2021

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Convolutional Neural Network Model for Intensive Care Unit Acute Kidney Injury Prediction.
Sidney Le, Angier Allen, Jacob Calvert, Paul M Palevsky, Gregory Braden

Kidney Int Rep· May 2021

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Prediction of short-term mortality in acute heart failure patients using minimal electronic health record data.
Ashwath Radhachandran, Anurag Garikipati, Nicole S Zelin, Emily Pellegrini, Sina Ghandian, Jacob Calvert

BioData Min· March 2021

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Supervised machine learning for the early prediction of acute respiratory distress syndrome (ARDS).
Sidney Le, Emily Pellegrini, Abigail Green-Saxena, Charlotte Summers, Jana Hoffman, Jacob Calvert

J Crit Care· December 2020

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Is Machine Learning a Better Way to Identify COVID-19 Patients Who Might Benefit from Hydroxychloroquine Treatment?-The IDENTIFY Trial.
Hoyt Burdick, Carson Lam, Samson Mataraso, Anna Siefkas, Gregory Braden, Jacob Calvert

J Clin Med· November 2020

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A Racially Unbiased, Machine Learning Approach to Prediction of Mortality: Algorithm Development Study.
Angier Allen, Samson Mataraso, Anna Siefkas, Hoyt Burdick, Gregory Braden, Jacob Calvert

JMIR Public Health Surveill· October 2020

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Multicenter validation of a machine-learning algorithm for 48-h all-cause mortality prediction.
Hamid Mohamadlou, Saarang Panchavati, Jacob Calvert, Anna Lynn-Palevsky, Sidney Le

Health Informatics J· September 2020

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Prediction of respiratory decompensation in Covid-19 patients using machine learning: The READY trial.
Hoyt Burdick, Carson Lam, Samson Mataraso, Anna Siefkas, Gregory Braden, Jacob Calvert

Comput Biol Med· September 2020

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Pediatric Severe Sepsis Prediction Using Machine Learning.
Sidney Le, Jana Hoffman, Christopher Barton, Julie C Fitzgerald, Angier Allen, Jacob Calvert

Front Pediatr· October 2019

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