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Emily Pellegrini

Showing results (1-10 of 20) with videos related to

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Frontiers in Neurology|February 8, 2021
Case Report: The Coronavirus Disease 2019 (COVID-19) Pneumonia With Multiple ThromboembolismTingting Cao, Guqin Zhang, Huabing Xie, et al.
Journal of Critical Care|August 11, 2020
Supervised machine learning for the early prediction of acute respiratory distress syndrome (ARDS)Sidney Le, Emily Pellegrini, Abigail Green-Saxena, et al.
Clinical Imaging|August 23, 2021
Application of deep learning to identify COVID-19 infection in posteroanterior chest X-raysJenish Maharjan, Jacob Calvert, Emily Pellegrini, et al.
Frontiers in Pediatrics|November 5, 2019
Pediatric Severe Sepsis Prediction Using Machine LearningSidney Le, Jana Hoffman, Christopher Barton, et al.
The American Journal of the Medical Sciences|January 26, 2022
Mortality, disease progression, and disease burden of acute kidney injury in alcohol use disorder subpopulationJenish Maharjan, Sidney Le, Abigail Green-Saxena, et al.
World Journal of Gastroenterology|July 9, 2021
COVID-19 and its effects on the digestive systemTing-Ting Cao, Gu-Qin Zhang, Emily Pellegrini, et al.
Health Policy and Technology|August 9, 2021
Personalized stratification of hospitalization risk amidst COVID-19: A machine learning approachCarson Lam, Jacob Calvert, Anna Siefkas, et al.
Clinical and Applied Thrombosis/Hemostasis : Official Journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis|February 24, 2021
A Machine Learning Approach to Predict Deep Venous Thrombosis Among Hospitalized PatientsLogan Ryan, Samson Mataraso, Anna Siefkas, et al.
Biodata Mining|April 1, 2021
Prediction of short-term mortality in acute heart failure patients using minimal electronic health record dataAshwath Radhachandran, Anurag Garikipati, Nicole S Zelin, et al.
Annals of Medicine and Surgery (2012)|October 12, 2020
Mortality prediction model for the triage of COVID-19, pneumonia, and mechanically ventilated ICU patients: A retrospective studyLogan Ryan, Carson Lam, Samson Mataraso, et al.
Pageof 2

Showing results (1-10 of 20) with videos related to

Sort By:
Pageof 2
Frontiers in Neurology|February 8, 2021
Case Report: The Coronavirus Disease 2019 (COVID-19) Pneumonia With Multiple ThromboembolismTingting Cao, Guqin Zhang, Huabing Xie, et al.
Journal of Critical Care|August 11, 2020
Supervised machine learning for the early prediction of acute respiratory distress syndrome (ARDS)Sidney Le, Emily Pellegrini, Abigail Green-Saxena, et al.
Clinical Imaging|August 23, 2021
Application of deep learning to identify COVID-19 infection in posteroanterior chest X-raysJenish Maharjan, Jacob Calvert, Emily Pellegrini, et al.
Frontiers in Pediatrics|November 5, 2019
Pediatric Severe Sepsis Prediction Using Machine LearningSidney Le, Jana Hoffman, Christopher Barton, et al.
The American Journal of the Medical Sciences|January 26, 2022
Mortality, disease progression, and disease burden of acute kidney injury in alcohol use disorder subpopulationJenish Maharjan, Sidney Le, Abigail Green-Saxena, et al.
World Journal of Gastroenterology|July 9, 2021
COVID-19 and its effects on the digestive systemTing-Ting Cao, Gu-Qin Zhang, Emily Pellegrini, et al.
Health Policy and Technology|August 9, 2021
Personalized stratification of hospitalization risk amidst COVID-19: A machine learning approachCarson Lam, Jacob Calvert, Anna Siefkas, et al.
Clinical and Applied Thrombosis/Hemostasis : Official Journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis|February 24, 2021
A Machine Learning Approach to Predict Deep Venous Thrombosis Among Hospitalized PatientsLogan Ryan, Samson Mataraso, Anna Siefkas, et al.
Biodata Mining|April 1, 2021
Prediction of short-term mortality in acute heart failure patients using minimal electronic health record dataAshwath Radhachandran, Anurag Garikipati, Nicole S Zelin, et al.
Annals of Medicine and Surgery (2012)|October 12, 2020
Mortality prediction model for the triage of COVID-19, pneumonia, and mechanically ventilated ICU patients: A retrospective studyLogan Ryan, Carson Lam, Samson Mataraso, et al.
Pageof 2