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Jana Hoffman

Showing results (1-10 of 34) with videos related to

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Diagnostics (Basel, Switzerland)|February 21, 2019
Machine-Learning-Based Laboratory Developed Test for the Diagnosis of Sepsis in High-Risk PatientsJacob Calvert, Nicholas Saber, Jana Hoffman, et al.
Cell Cycle (Georgetown, Tex.)|March 27, 2004
Wnts as essential growth factors for the adult small intestine and colonJana Hoffman, Frank Kuhnert, Corrine R Davis, et al.
American Journal of Infection Control|August 24, 2021
Early prediction of central line associated bloodstream infection using machine learningKeyvan Rahmani, Anurag Garikipati, Gina Barnes, et al.
Pancreatology : Official Journal of the International Association of Pancreatology (IAP) ... [Et Al.]|October 25, 2021
Early prediction of severe acute pancreatitis using machine learningRahul Thapa, Zohora Iqbal, Anurag Garikipati, et al.
BMJ Open Diabetes Research & Care|January 20, 2022
Prediction of diabetic kidney disease with machine learning algorithms, upon the initial diagnosis of type 2 diabetes mellitusAngier Allen, Zohora Iqbal, Abigail Green-Saxena, 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.
Leukemia Research|June 25, 2021
A machine learning approach to predicting risk of myelodysplastic syndromeAshwath Radhachandran, Anurag Garikipati, Zohora Iqbal, et al.
Circulation|October 13, 2004
Adenoviral gene transfer with soluble vascular endothelial growth factor receptors impairs angiogenesis and perfusion in a murine model of hindlimb ischemiaJohannes Jacobi, Betty Y Y Tam, Grace Wu, et al.
Pulmonary Circulation|May 4, 2022
Predicting pulmonary embolism among hospitalized patients with machine learning algorithmsLogan Ryan, Jenish Maharjan, Samson Mataraso, 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.
Pageof 4

Showing results (1-10 of 34) with videos related to

Sort By:
Pageof 4
Diagnostics (Basel, Switzerland)|February 21, 2019
Machine-Learning-Based Laboratory Developed Test for the Diagnosis of Sepsis in High-Risk PatientsJacob Calvert, Nicholas Saber, Jana Hoffman, et al.
Cell Cycle (Georgetown, Tex.)|March 27, 2004
Wnts as essential growth factors for the adult small intestine and colonJana Hoffman, Frank Kuhnert, Corrine R Davis, et al.
American Journal of Infection Control|August 24, 2021
Early prediction of central line associated bloodstream infection using machine learningKeyvan Rahmani, Anurag Garikipati, Gina Barnes, et al.
Pancreatology : Official Journal of the International Association of Pancreatology (IAP) ... [Et Al.]|October 25, 2021
Early prediction of severe acute pancreatitis using machine learningRahul Thapa, Zohora Iqbal, Anurag Garikipati, et al.
BMJ Open Diabetes Research & Care|January 20, 2022
Prediction of diabetic kidney disease with machine learning algorithms, upon the initial diagnosis of type 2 diabetes mellitusAngier Allen, Zohora Iqbal, Abigail Green-Saxena, 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.
Leukemia Research|June 25, 2021
A machine learning approach to predicting risk of myelodysplastic syndromeAshwath Radhachandran, Anurag Garikipati, Zohora Iqbal, et al.
Circulation|October 13, 2004
Adenoviral gene transfer with soluble vascular endothelial growth factor receptors impairs angiogenesis and perfusion in a murine model of hindlimb ischemiaJohannes Jacobi, Betty Y Y Tam, Grace Wu, et al.
Pulmonary Circulation|May 4, 2022
Predicting pulmonary embolism among hospitalized patients with machine learning algorithmsLogan Ryan, Jenish Maharjan, Samson Mataraso, 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.
Pageof 4