Armando D Bedoya (Armando Bedoya)

Scopus Author ID ORCID

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 7

Top Topics

Convolutional Neural Network

Machine Learning

Top Venues

Journal of the American Medical Informatics Association : JAMIA

Journal of medical Internet research

JMIR medical informatics

This page only lists publications with an associated author ORCID identifier.

Publications

Rashaud Senior, Lisa Pickett, Andrew Stirling, Shwetha Dash, Patti Gorgone, Georgina Durst, Debra Jones, Richard Shannon, Nrupen A Bhavsar, Armando D Bedoya
Development of an interactive dashboard for gun violence pattern analysis and intervention design at the local level. JAMIA open 6 (4) (2023)
Nicoleta J Economou-Zavlanos, Sophia Bessias, Michael P Cary, Armando D Bedoya, Benjamin A Goldstein, John Eric Jelovsek, Cara L O'Brien, Nancy Walden, Matthew Elmore, Amanda B Parrish, Scott Elengold, Kay S Lytle, Suresh Balu, Michael E Lipkin, Afreen Idris Shariff, Michael Gao, David Leverenz, Ricardo Henao, David Y Ming, David M Gallagher, Michael J Pencina, Eric G Poon
Translating ethical and quality principles for the effective, safe and fair development, deployment and use of artificial intelligence technologies in healthcare. Journal of the American Medical Informatics Association : JAMIA (2023)
Armando D Bedoya, Nicoleta J Economou-Zavlanos, Benjamin A Goldstein, Allison Young, John Eric Jelovsek, Cara O'Brien, Amanda B Parrish, Scott Elengold, Kay Lytle, Suresh Balu, Erich Huang, Eric G Poon, Michael J Pencina
A framework for the oversight and local deployment of safe and high-quality prediction models. Journal of the American Medical Informatics Association : JAMIA 29 (9) (2022)
Mark P Sendak, Michael Gao, William Ratliff, Marshall Nichols, Armando D Bedoya, Cara O'Brien, Suresh Balu
Looking for clinician involvement under the wrong lamp post: The need for collaboration measures. Journal of the American Medical Informatics Association : JAMIA 28 (11) (2021)
Armando D Bedoya, Joseph Futoma, Meredith E Clement, Kristin Corey, Nathan Brajer, Anthony Lin, Morgan G Simons, Michael Gao, Marshall Nichols, Suresh Balu, Katherine Heller, Mark P Sendak, Cara O'Brien
Machine learning for early detection of sepsis: an internal and temporal validation study. JAMIA open 3 (2) (2020)
Sahil Sandhu, Anthony L Lin, Nathan Brajer, Jessica Sperling, William Ratliff, Armando D Bedoya, Suresh Balu, Cara O'Brien, Mark P Sendak
Integrating a Machine Learning System Into Clinical Workflows: Qualitative Study. Journal of medical Internet research 22 (11) (2020)
Mark P Sendak, William Ratliff, Dina Sarro, Elizabeth Alderton, Joseph Futoma, Michael Gao, Marshall Nichols, Mike Revoir, Faraz Yashar, Corinne Miller, Kelly Marie Kester, Sahil Sandhu, Kristin M Corey, Nathan Brajer, Christelle Tan, Anthony L Lin, Tres Brown, Susan Engelbosch, Kevin J Anstrom, Madeleine Clare Elish, Katherine Heller, Rebecca Donohoe, Jason Theiling, Eric G Poon, Suresh Balu, Armando D Bedoya, Cara O'Brien
Real-World Integration of a Sepsis Deep Learning Technology Into Routine Clinical Care: Implementation Study. JMIR medical informatics 8 (7) (2020)