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Publications

2019

Health Informatics Journal

Multicenter validation of a machine-learning algorithm for 48-h all-cause mortality prediction

Authors: Mohamadlou H, Panchavati S, Calvert J, Lynn-Palevsky A, Le S, Allen A, Pellegrini E, Green-Saxena A,
Barton C, Fletcher G, Shieh L, Stark P, Chettipally U, Shimabukuro D, Feldman M, Das R

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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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