Publications

Source

Pancreatology

Authors

Rahul Thapa, Zohora Iqbal, Anurag Garikipati, Anna Siefkas, Jana Hoffman, Qingqing Mao, Ritankar Das

Tags

Acute pancreatitis, Machine learning, Electronic health records, Clinical decision support

Source

JMIR Formative Research

Authors

Carson Lam, Chak Foon Tso, Abigail Green-Saxena, Emily Pellegrini, Zohora Iqbal, Daniel Evans, Jana Hoffman, Jacob Calvert, Qingqing Mao, Ritankar Das

Tags

acute respiratory distress syndrome, COVID-19, semisupervised learning, deep learning, machine learning, algorithm, prediction, decision support

Source

AJIC

Authors

Keyvan Rahmani, Anurag Garikipati, BS, Gina Barnes, MPH, Jacob Calvert, MSc, Qingqing Mao, PhD, Ritankar Das, MSc

Tags

machine learning, algorithm, prediction, central line-associated bloodstream infection (CLABSI)

Source

Healthcare Technology Letters

Authors

Saarang Panchavati, Carson Lam, Nicole S. Zelin, Emily Pellegrini, Gina Barnes, Jana Hoffman, Anurag Garikipati, Jacob Calvert, Qingqing Mao, Ritankar Das

Tags

myocardial infarction risk stratification, MI, algorithm

Source

Clinical Imaging

Authors

Jenish Maharjan, Jacob Calvert, Emily Pellegrini Meng, Abigail Green-Saxena, Jana Hoffman, Andrea McCoy, Qingqing Mao, Ritankar Das

Tags

COVID-19, X-rays, Classification, Deep learning, Neural networks, Diagnosis

Source

Health Policy and Technology

Authors

Carson Lam, Jacob Calvert, Anna Siefkas, Gina Barnes, Emily Pellegrini, Abigail Green-Saxena, Jana Hoffman, Qingqing Mao, Ritankar Das

Tags

Machine learning, Algorithm, COVID-19, Prediction

Source

Leukemia Research

Authors

Ashwath Radhachandran, Anurag Garikipati ZohoraIqbal, Anna Siefkas, Gina Barnes, Jana Hoffman, Qingqing Mao, RitankarDas

Tags

Myelodysplastic syndrome (MDS), Early prediction, Risk assessment, Machine learning, Electronic health records (EHR)

Source

Applied Sciences

Authors

Angier Allen, Anna Siefkas, Emily Pellegrini, Hoyt Burdick, Gina Barnes, Jacob Calvert, Qingqing Mao, Ritankar Das

Tags

digital twins; variational autoencoder; machine learning; algorithm; stroke; disease forecasting

Source

Medicine

Authors

Giang, Christine BA; Calvert, Jacob MSc; Rahmani, Keyvan PhD; Barnes, Gina MPH; Siefkas, Anna SM∗; Green-Saxena, Abigail PhD; Hoffman, Jana PhD; Mao, Qingqing PhD; Das, Ritankar MSc

Tags

logistic regression, machine learning, prediction, ventilator-associated pneumonia

Source

JMIR Public Health and Surveillance

Authors

Chak Foon Tso, PhD; Anurag Garikipati, MSc; Abigail Green-Saxena, PhD; Qingqing Mao, PhD; Ritankar Das, MSc

Tags

reverse transcription polymerase chain reaction, testing, cycle threshold, COVID-19, epidemiology, Rt, exploratory, correlation, population, threshold, disease dynamic, distribution, transmission

Source

BioData Mining

Authors

Ashwath Radhachandran, Anurag Garikipati, Nicole S. Zelin, Emily Pellegrini, Sina Ghandian, Jacob Calvert, Jana Hoffman, Qingqing Mao, Ritankar Das

Tags

Acute heart failure; Mortality; Machine learning; Prediction; Clinical decision support

Source

Clinical Therapeutics

Authors

Carson Lam, MD, Anna Siefkas, SM, Nicole S. Zelin, MD, Gina Barnes, MPH, R. Phillip Dellinger, MD, Jean-Louis Vincent MD, PhD, Gregory Braden, MD, Hoyt Burdick, MD, Jana Hoffman, PhD, Jacob Calvert, MSc, Qingqing Mao, PhD, Ritankar Das, MSc

Tags

Algorithm; Corticosteroid; COVID-19; Machine learning; Remdesivir; SARS-CoV-2

Source

PLOS ONE

Authors

Dascena contributors: SAMSON MATARASO, ANNA SIEFKAS, CARSON LAM, QINGQING MAO, RITANKAR DAS

Tags

COVID 19; Electronic medical records; Drug therapy; ACE inhibitor therapy; Adverse events; Electrocatalysts Arrhythmia; Cancer detection and diagnostics

Source

Kidney International Reports (KI Reports)

Authors

Sidney Le, BA, Angier Allen, BA, Jacob Calvert, MSc, Paul M. Palevsky, MD, Gregory Braden, MD, Sharad Patel, MD, Emily Pellegrini, MEng, Abigail Green-Saxena, PhD, Jana Hoffman, PhD, Ritankar Das, MSc

Tags

Acute kidney injury; Convolutional neural net; Electronic health record data; Machine learning; Prediction; Serum creatinine

Source

Clinical and Applied Thrombosis/Hemostasis

Authors

Logan Ryan, BS, Samson Mataraso, BS, Anna Siefkas, SM, Emily Pellegrini, MEng, Gina Barnes, MPH, Abigail Green-Saxena, PhD, Jana Hoffman, PhD, Jacob Calvert, MSc, Ritankar Das, MSc

Tags

Algorithms; Machine learning; Risk assessment; Venous thromboembolism; Deep venous thrombosis

Source

Journal of Critical Medicine

Authors

Burdick H, Lam C, Mataraso S, Siefkas A, Braden G, Dellinger R.P, McCoy A, Vincent J-L, Green-Saxena A, Barnes G, Hoffman J, Calvert J, Pelligrini E, Das R

Tags

Machine learning; COVID-19; SARS-Cov-2; Hydroxychloroquine; Mortality; Prediction; Drug treatment

Source

BMC Medical Informatics and Decision Making

Authors

Hoyt B, Eduardo P, Gabel-Comeau D, Gu C, Roberts J, Le S, Slote J, Saber N, Pelligrini E, Green-Saxena A, Hoffman J, Das R

Tags

Machine learning algorithm, Sepsis prediction, Severe sepsis, Diagnostic

Source

JMIR Publications

Authors

Allen A, Mataraso S, Siefkas A, Burdick H, Braden G, Dellinger R.P, McCoy A, Pelligrini E, Hoffman J, Green-Saxena A, Barnes G, Calvert J, Das R

Tags

Machine learning; Health disparities; racial disparities; Mortality; Prediction

Source

Annals of Medicine and Surgery

Authors

Ryan L, Carson L, Mataraso S, Allen A, Green-Saxena A, Pellegrini E, Hoffman J, Barton C, McCoy A, Das, R

Tags

Mortality prediction; COVID-19; SARS-CoV-2; Machine learning; Artificial intelligence

Source

Computers in Biology and Medicine

Authors

Burdick H, Lam C, Mataraso S, Siefkas A, Braden G, Dellinger R.P, McCoy A, Vincent J-L, Green-Saxena A, Hoffman J, Calvert J, Pellegrini E, Das R

Tags

Machine learning; COVID-19; Mechanical ventilation; Prediction

Source

Journal of Critical Care

Authors

Le S, Pellegrini E, Green-Saxena A, Summers C, Hoffman J, Calvert J, Das R

Tags

Acute respiratory distress syndrome; Intensive care unit; Machine learning; Clinical decision support systems; Electronic health records; Medical informatics

Source

BMJ Health & Care Informatics

Authors

Burdick H, Pino E, Gabel-Comeau D, McCoy A, Gu C, Roberts J, Le S, Slote J, Pellegrini E, Green-Saxena A, Hoffman J, Das R

Tags

Source

Health Informatics Journal

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

Tags

Electronic health record; Machine learning; Mortality; Prediction

Source

Frontiers in Pediatrics

Authors

Le S, Hoffman J, Barton C, Fitzgerald J, Allen A, Pellegrini E, Calvert J, Das R

Tags

Pediatric severe sepsis; Prediction; Machine learning; Electronic health records; Early detection

Source

Computers in Biology and Medicine

Authors

Barton C, Chettipally U, Zhou Y, Jiang Z, Lynn-Palevsky A, Le S, Calvert J, Das R

Tags

Sepsis; Machine learning; Electronic health records; Prediction

Source

Diagnostics

Authors

Calvert J, Saber N, Hoffman J, Das R

Tags

Sepsis; Laboratory developed test; Machine learning; Clinical decision support; Electronic health record; Biomarker; Medical informatics

Source

Canadian Journal of Kidney Health and Disease

Authors

Mohamadlou H, Lynn-Palevsky A, Barton C, Chettipally U, Shieh L, Calvert J, Saber N, Das R

Tags

Acute kidney injury; Machine learning

Source

BMJ Open

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

Tags

Clinical Decision Support; Electronic Health Records; Machine Learning; Prediction; Sepsis; Septic Shock

Source

BMJ Open Respiratory Research

Authors

Shimabukuro D, Barton C, Feldman M, Mataraso S, Das R

Tags

Source

BMJ Open Quality

Authors

McCoy A, Das R

Tags

Source

BMJ Open

Authors

Desautels T, Das R, Calvert J, Trivedi M, Summers C, Wales D, Ercole A

Tags

Source

Royal Society Open Science

Authors

Das R, Wales D

Tags

Energy landscapes; Machine learning; Neural networks; Patient mortality

Source

Biomedical Informatics Insights

Authors

Desautels T, Calvert J, Hoffman J, Mao Q, Jay M, Fletcher G, Barton C, Chettipally U, Kerem Y, Das R

Tags

AUROC; Machine learning; clinical decision support; mortality prediction; transfer learning

Source

Journal of Medical Economics

Authors

Calvert J, Hoffman J, Barton C, Shimabukuro D, Ries M, Chettipally U, Kerem Y, Jay M, Mataraso S, Das R

Tags

Algorithm; Clinical decision support systems; Computer-assisted diagnosis; Length of stay; Medical informatics; Mortality reduction; Sepsis

Source

JMIR Medical Informatics

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

Tags

Clinical decision support systems; Electronic health records; Machine learning; Medical informatics; Sepsis

Source

Annals of Medicine and Surgery

Authors

Calvert J, Mao Q, Hoffman J, Jay M, Desautels T, Mohamadlou H, Chettipally U, Das R

Tags

Clinical decision support systems; Mortality prediction; Electronic health records; Medical informatics

Source

Computers in Biology and Medicine

Authors

Calvert J, Mao Q, Rogers A, Barton C, Jay M, Desautels T, Mohamadlou H, Jan J, Das R

Tags

Alcohol use disorder; Clinical decision support systems; Electronic health records; Medical informatics; Mortality prediction

Source

Computers in Biology and Medicine

Authors

Calvert J, Price D, Chettipally U, Barton CW, Feldman M, Hoffman J, Jay M, Das R

Tags

Clinical decision support systems; Computer-assisted diagnosis; Early diagnosis; Medical informatics; Sepsis; Severe sepsis

Source

Annals of Medicine and Surgery

Authors

Calvert J, Desautels T, Chettipally U, Barton C, Hoffman J, Jay M, Mao Q, Mohamadlou H, Das R

Tags

Alcohol use disorder; Clinical decision support systems; Electronic health records; Sepsis; Septic shock

Source

Journal of the American Medical Informatics Association

Authors

Calvert J, Price D, Barton C, Chettipally U, Das R

Tags

Clinical decision support systems; Computer-assisted diagnosis; Length of stay; Medical informatics; Patient discharge