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Jacob Calvert

Showing results (11-20 of 42) with videos related to

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Pulmonary Circulation|May 4, 2022
Predicting pulmonary embolism among hospitalized patients with machine learning algorithmsLogan Ryan, Jenish Maharjan, Samson Mataraso, et al.
Nucleic Acids Research|April 21, 2016
Quantitative analysis and prediction of G-quadruplex forming sequences in double-stranded DNAMinji Kim, Alex Kreig, Chun-Ying Lee, et al.
JGH Open : an Open Access Journal of Gastroenterology and Hepatology|March 31, 2022
Machine learning to predict progression of non-alcoholic fatty liver to non-alcoholic steatohepatitis or fibrosisSina Ghandian, Rahul Thapa, Anurag Garikipati, 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.
Annals of Medicine and Surgery (2012)|October 5, 2016
Using electronic health record collected clinical variables to predict medical intensive care unit mortalityJacob Calvert, Qingqing Mao, Jana L Hoffman, et al.
Frontiers in Pediatrics|November 5, 2019
Pediatric Severe Sepsis Prediction Using Machine LearningSidney Le, Jana Hoffman, Christopher Barton, et al.
Computers in Biology and Medicine|April 30, 2019
Evaluation of a machine learning algorithm for up to 48-hour advance prediction of sepsis using six vital signsChristopher Barton, Uli Chettipally, Yifan Zhou, 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.
Annals of Medicine and Surgery (2012)|August 5, 2016
High-performance detection and early prediction of septic shock for alcohol-use disorder patientsJacob Calvert, Thomas Desautels, Uli Chettipally, et al.
Canadian Journal of Kidney Health and Disease|August 11, 2018
Prediction of Acute Kidney Injury With a Machine Learning Algorithm Using Electronic Health Record DataHamid Mohamadlou, Anna Lynn-Palevsky, Christopher Barton, et al.
Pageof 5

Showing results (11-20 of 42) with videos related to

Sort By:
Pageof 5
Pulmonary Circulation|May 4, 2022
Predicting pulmonary embolism among hospitalized patients with machine learning algorithmsLogan Ryan, Jenish Maharjan, Samson Mataraso, et al.
Nucleic Acids Research|April 21, 2016
Quantitative analysis and prediction of G-quadruplex forming sequences in double-stranded DNAMinji Kim, Alex Kreig, Chun-Ying Lee, et al.
JGH Open : an Open Access Journal of Gastroenterology and Hepatology|March 31, 2022
Machine learning to predict progression of non-alcoholic fatty liver to non-alcoholic steatohepatitis or fibrosisSina Ghandian, Rahul Thapa, Anurag Garikipati, 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.
Annals of Medicine and Surgery (2012)|October 5, 2016
Using electronic health record collected clinical variables to predict medical intensive care unit mortalityJacob Calvert, Qingqing Mao, Jana L Hoffman, et al.
Frontiers in Pediatrics|November 5, 2019
Pediatric Severe Sepsis Prediction Using Machine LearningSidney Le, Jana Hoffman, Christopher Barton, et al.
Computers in Biology and Medicine|April 30, 2019
Evaluation of a machine learning algorithm for up to 48-hour advance prediction of sepsis using six vital signsChristopher Barton, Uli Chettipally, Yifan Zhou, 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.
Annals of Medicine and Surgery (2012)|August 5, 2016
High-performance detection and early prediction of septic shock for alcohol-use disorder patientsJacob Calvert, Thomas Desautels, Uli Chettipally, et al.
Canadian Journal of Kidney Health and Disease|August 11, 2018
Prediction of Acute Kidney Injury With a Machine Learning Algorithm Using Electronic Health Record DataHamid Mohamadlou, Anna Lynn-Palevsky, Christopher Barton, et al.
Pageof 5