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Christopher V Cosgriff

Showing results (1-10 of 18) with videos related to

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British Journal of Anaesthesia|December 10, 2019
Deep learning for risk assessment: all about automatic feature extractionChristopher V Cosgriff, Leo Anthony Celi
The Lancet. Digital Health|December 17, 2020
Exploiting temporal relationships in the prediction of mortalityChristopher V Cosgriff, Leo Anthony Celi
Journal of the American Chemical Society|July 4, 2013
Computational evidence for heavy-atom tunneling in the bergman cyclization of a 10-membered-ring enediyneEdyta M Greer, Christopher V Cosgriff, Charles Doubleday
Biomedical Engineering and Computational Biology|June 21, 2019
Critical Care, Critical DataChristopher V Cosgriff, Leo Anthony Celi, David J Stone
The Lancet. Digital Health|May 7, 2020
Data sharing in the era of COVID-19Christopher V Cosgriff, Daniel K Ebner, Leo Anthony Celi
Angewandte Chemie (International Ed. in English)|September 8, 2017
Heavy-Atom Tunneling Calculations in Thirteen Organic Reactions: Tunneling Contributions are Substantial, and Bell's Formula Closely Approximates Multidimensional Tunneling at ≥250 KCharles Doubleday, Randy Armas, Dana Walker, et al.
BMJ Health & Care Informatics|July 18, 2020
The clinical artificial intelligence department: a prerequisite for successChristopher V Cosgriff, David J Stone, Gary Weissman, et al.
Journal of Patient Safety|December 4, 2020
Patient Harm During COVID-19 Pandemic: Using a Human Factors Lens to Promote Patient and Workforce SafetyM Abdulhadi Alagha, Francois Jaulin, Wesley Yeung, et al.
Iscience|June 25, 2021
Village mentoring and hive learning: The MIT Critical Data experienceChristopher V Cosgriff, Marie Charpignon, Dana Moukheiber, et al.
NPJ Digital Medicine|August 21, 2019
Developing well-calibrated illness severity scores for decision support in the critically illChristopher V Cosgriff, Leo Anthony Celi, Stephanie Ko, et al.
Pageof 2

Showing results (1-10 of 18) with videos related to

Sort By:
Pageof 2
British Journal of Anaesthesia|December 10, 2019
Deep learning for risk assessment: all about automatic feature extractionChristopher V Cosgriff, Leo Anthony Celi
The Lancet. Digital Health|December 17, 2020
Exploiting temporal relationships in the prediction of mortalityChristopher V Cosgriff, Leo Anthony Celi
Journal of the American Chemical Society|July 4, 2013
Computational evidence for heavy-atom tunneling in the bergman cyclization of a 10-membered-ring enediyneEdyta M Greer, Christopher V Cosgriff, Charles Doubleday
Biomedical Engineering and Computational Biology|June 21, 2019
Critical Care, Critical DataChristopher V Cosgriff, Leo Anthony Celi, David J Stone
The Lancet. Digital Health|May 7, 2020
Data sharing in the era of COVID-19Christopher V Cosgriff, Daniel K Ebner, Leo Anthony Celi
Angewandte Chemie (International Ed. in English)|September 8, 2017
Heavy-Atom Tunneling Calculations in Thirteen Organic Reactions: Tunneling Contributions are Substantial, and Bell's Formula Closely Approximates Multidimensional Tunneling at ≥250 KCharles Doubleday, Randy Armas, Dana Walker, et al.
BMJ Health & Care Informatics|July 18, 2020
The clinical artificial intelligence department: a prerequisite for successChristopher V Cosgriff, David J Stone, Gary Weissman, et al.
Journal of Patient Safety|December 4, 2020
Patient Harm During COVID-19 Pandemic: Using a Human Factors Lens to Promote Patient and Workforce SafetyM Abdulhadi Alagha, Francois Jaulin, Wesley Yeung, et al.
Iscience|June 25, 2021
Village mentoring and hive learning: The MIT Critical Data experienceChristopher V Cosgriff, Marie Charpignon, Dana Moukheiber, et al.
NPJ Digital Medicine|August 21, 2019
Developing well-calibrated illness severity scores for decision support in the critically illChristopher V Cosgriff, Leo Anthony Celi, Stephanie Ko, et al.
Pageof 2