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Ritankar Das

Showing results (1-10 of 60) with videos related to

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BMJ Open Quality|February 17, 2018
Reducing patient mortality, length of stay and readmissions through machine learning-based sepsis prediction in the emergency department, intensive care unit and hospital floor unitsAndrea McCoy, Ritankar Das
Royal Society Open Science|August 10, 2017
Machine learning landscapes and predictions for patient outcomesRitankar Das, David J Wales
Physical Review. E|July 15, 2016
Energy landscapes for a machine-learning prediction of patient dischargeRitankar Das, David J Wales
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.
The Journal of Chemical Physics|April 3, 2016
Energy landscapes for a machine learning application to series dataAndrew J Ballard, Jacob D Stevenson, Ritankar Das, et al.
Journal of Biosciences|December 14, 2018
Computational neuroscience and neuroinformatics: Recent progress and resourcesLosiana Nayak, Abhijit Dasgupta, Ritankar Das, et al.
JMIR Public Health and Surveillance|May 17, 2021
Correlation of Population SARS-CoV-2 Cycle Threshold Values to Local Disease Dynamics: Exploratory Observational StudyChak Foon Tso, Anurag Garikipati, Abigail Green-Saxena, 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 Respiratory Research|February 14, 2018
Effect of a machine learning-based severe sepsis prediction algorithm on patient survival and hospital length of stay: a randomised clinical trialDavid W Shimabukuro, Christopher W Barton, Mitchell D Feldman, et al.
Pageof 6

Showing results (1-10 of 60) with videos related to

Sort By:
Pageof 6
BMJ Open Quality|February 17, 2018
Reducing patient mortality, length of stay and readmissions through machine learning-based sepsis prediction in the emergency department, intensive care unit and hospital floor unitsAndrea McCoy, Ritankar Das
Royal Society Open Science|August 10, 2017
Machine learning landscapes and predictions for patient outcomesRitankar Das, David J Wales
Physical Review. E|July 15, 2016
Energy landscapes for a machine-learning prediction of patient dischargeRitankar Das, David J Wales
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.
The Journal of Chemical Physics|April 3, 2016
Energy landscapes for a machine learning application to series dataAndrew J Ballard, Jacob D Stevenson, Ritankar Das, et al.
Journal of Biosciences|December 14, 2018
Computational neuroscience and neuroinformatics: Recent progress and resourcesLosiana Nayak, Abhijit Dasgupta, Ritankar Das, et al.
JMIR Public Health and Surveillance|May 17, 2021
Correlation of Population SARS-CoV-2 Cycle Threshold Values to Local Disease Dynamics: Exploratory Observational StudyChak Foon Tso, Anurag Garikipati, Abigail Green-Saxena, 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 Respiratory Research|February 14, 2018
Effect of a machine learning-based severe sepsis prediction algorithm on patient survival and hospital length of stay: a randomised clinical trialDavid W Shimabukuro, Christopher W Barton, Mitchell D Feldman, et al.
Pageof 6