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Prithwish Chakraborty

Showing results (1-10 of 8) with videos related to

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Plos Computational Biology|October 13, 2018
What to know before forecasting the fluPrithwish Chakraborty, Bryan Lewis, Stephen Eubank, et al.
BMC Infectious Diseases|May 17, 2017
A framework for evaluating epidemic forecastsFarzaneh Sadat Tabataba, Prithwish Chakraborty, Naren Ramakrishnan, et al.
Scientific Reports|January 20, 2017
Temporal Topic Modeling to Assess Associations between News Trends and Infectious Disease OutbreaksSaurav Ghosh, Prithwish Chakraborty, Elaine O Nsoesie, et al.
Patterns (New York, N.Y.)|May 24, 2022
Human-centered explainability for life sciences, healthcare, and medical informaticsSanjoy Dey, Prithwish Chakraborty, Bum Chul Kwon, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|March 21, 2022
Impact of Clinical and Genomic Factors on COVID-19 Disease SeveritySanjoy Dey, Aritra Bose, Subrata Saha, et al.
Artificial Intelligence in Medicine|March 3, 2023
Informing clinical assessment by contextualizing post-hoc explanations of risk prediction models in type-2 diabetesShruthi Chari, Prasant Acharya, Daniel M Gruen, et al.
Epidemics|March 7, 2018
Results from the second year of a collaborative effort to forecast influenza seasons in the United StatesMatthew Biggerstaff, Michael Johansson, David Alper, et al.
AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science|August 30, 2021
Blending Knowledge in Deep Recurrent Networks for Adverse Event Prediction at Hospital DischargePrithwish Chakraborty, James Codella, Piyush Madan, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Plos Computational Biology|October 13, 2018
What to know before forecasting the fluPrithwish Chakraborty, Bryan Lewis, Stephen Eubank, et al.
BMC Infectious Diseases|May 17, 2017
A framework for evaluating epidemic forecastsFarzaneh Sadat Tabataba, Prithwish Chakraborty, Naren Ramakrishnan, et al.
Scientific Reports|January 20, 2017
Temporal Topic Modeling to Assess Associations between News Trends and Infectious Disease OutbreaksSaurav Ghosh, Prithwish Chakraborty, Elaine O Nsoesie, et al.
Patterns (New York, N.Y.)|May 24, 2022
Human-centered explainability for life sciences, healthcare, and medical informaticsSanjoy Dey, Prithwish Chakraborty, Bum Chul Kwon, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|March 21, 2022
Impact of Clinical and Genomic Factors on COVID-19 Disease SeveritySanjoy Dey, Aritra Bose, Subrata Saha, et al.
Artificial Intelligence in Medicine|March 3, 2023
Informing clinical assessment by contextualizing post-hoc explanations of risk prediction models in type-2 diabetesShruthi Chari, Prasant Acharya, Daniel M Gruen, et al.
Epidemics|March 7, 2018
Results from the second year of a collaborative effort to forecast influenza seasons in the United StatesMatthew Biggerstaff, Michael Johansson, David Alper, et al.
AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science|August 30, 2021
Blending Knowledge in Deep Recurrent Networks for Adverse Event Prediction at Hospital DischargePrithwish Chakraborty, James Codella, Piyush Madan, et al.
Pageof 1