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Publications
2019
Frontiers in Pediatrics
Pediatric Severe Sepsis Prediction Using Machine Learning
Authors:
Le S, Hoffman J, Barton C, Fitzgerald J, Allen A, Pellegrini E, Calvert J, Das R
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Computers in Biology and Medicine
Evaluation of a machine learning algorithm for up to 48-hour advance prediction of sepsis using six vital signs
Authors:
Barton C, Chettipally U, Zhou Y, Jiang Z, Lynn-Palevsky A, Le S, Calvert J, Das R
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Diagnostics
Machine-Learning-Based Laboratory Developed Test for the Diagnosis of Sepsis in High-Risk Patients
Authors:
Calvert J, Saber N, Hoffman J, Das R
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2018
Canadian Journal of Kidney Health and Disease
Prediction of acute kidney injury with a machine learning algorithm using electronic health record data
Authors:
Mohamadlou H, Lynn-Palevsky A, Barton C, Chettipally U, Shieh L, Calvert J, Saber N, Das R
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BMJ Open
Multicenter validation of a sepsis prediction algorithm using only vital sign data in the emergency department, general ward and ICU
Authors:
Mao Q, Jay M, Hoffman JL, Calvert J, Barton C, Shimabukuro D, Shieh L, Chettipally U, Fletcher G, Kerem Y, Zhou Y, Das R
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2017
BMJ Open Respiratory Research
Effect of a machine learning-based severe sepsis prediction algorithm on patient survival and hospital length of stay: a randomised clinical trial
Authors:
Shimabukuro D, Barton C, Feldman M, Mataraso S, Das R
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BMJ Open Quality
Reducing patient mortality, length of stay and readmissions through machine learning-based sepsis prediction in the emergency department, intensive care unit, and hospital floor units
Authors:
McCoy A, Das R
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BMJ Open
Prediction of early unplanned intensive care unit readmission in a UK tertiary care hospital: a cross-sectional machine learning approach
Authors:
Desautels T, Das R, Calvert J, Trivedi M, Summers C, Wales D, Ercole A
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Royal Society Open Science
Machine learning landscapes and predictions for patient outcomes
Authors:
Das R, Wales D
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Biomedical Informatics Insights
Using transfer learning for improved mortality prediction in a data-scarce hospital setting
Authors:
Desautels T, Calvert J, Hoffman J, Mao Q, Jay M, Fletcher G, Barton C, Chettipally U, Kerem Y, Das R
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Journal of Medical Economics
Cost and mortality impact of an algorithm-driven sepsis prediction system
Authors:
Calvert J, Hoffman J, Barton C, Shimabukuro D, Ries M, Chettipally U, Kerem Y, Jay M, Mataraso S, Das R
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2016
JMIR Medical Informatics
Prediction of sepsis in the intensive care unit with minimal electronic health record data: A machine learning approach
Authors:
Desautels T, Calvert J, Hoffman J, Jay M, Kerem Y, Shieh L, Shimabukuro D, Chettipally U, Feldman M, Barton C, Wales D, Das R
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Annals of Medicine and Surgery
Using electronic health record collected clinical variables to predict medical intensive care unit mortality
Authors:
Calvert J, Mao Q, Hoffman J, Jay M, Desautels T, Mohamadlou H, Chettipally U, Das R
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Computers in Biology and Medicine
A computational approach to mortality prediction of alcohol use disorder inpatients
Authors:
Calvert J, Mao Q, Rogers A, Barton C, Jay M, Desautels T, Mohamadlou H, Jan J, Das R
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Computers in Biology and Medicine
A computational approach to early sepsis detection
Authors:
Calvert J, Price D, Chettipally U, Barton CW, Feldman M, Hoffman J, Jay M, Das R
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Annals of Medicine and Surgery
High-performance detection and early prediction of septic shock for alcohol-use disorder patients
Authors:
Calvert J, Desautels T, Chettipally U, Barton C, Hoffman J, Jay M, Mao Q, Mohamadlou H, Das R
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Journal of the American Medical Informatics Association
Discharge recommendation based on a novel technique of homeostatic analysis
Authors:
Calvert J, Price D, Barton C, Chettipally U, Das R
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