Marcus A. Badgeley

Publication Activity (10 Years)

Years Active: 2015-2022
Publications (10 Years): 14

Top Topics

Umls Metathesaurus

Electronic Health Records

Continuous Action

Top Venues

Briefings Bioinform.

Publications

Gabriel Schamberg, Marcus A. Badgeley, Benyamin Meschede-Krasa, Ohyoon Kwon, Emery N. Brown
Continuous action deep reinforcement learning for propofol dosing during general anesthesia. Artif. Intell. Medicine 123 (2022)
Gabriel Schamberg, Marcus A. Badgeley, Emery N. Brown
Controlling Level of Unconsciousness by Titrating Propofol with Deep Reinforcement Learning. AIME (2020)
Gabe Schamberg, Marcus A. Badgeley, Emery N. Brown
Controlling Level of Unconsciousness by Titrating Propofol with Deep Reinforcement Learning. CoRR (2020)
Tingyi Wanyan, Martin Kang, Marcus A. Badgeley, Kipp W. Johnson, Jessica K. De Freitas, Fayzan F. Chaudhry, Akhil Vaid, Shan Zhao, Riccardo Miotto, Girish N. Nadkarni, Fei Wang, Justin F. Rousseau, Ariful Azad, Ying Ding, Benjamin S. Glicksberg
Heterogeneous Graph Embeddings of Electronic Health Records Improve Critical Care Disease Predictions. AIME (2020)
Mihir P. Khambete, William Su, Juan Garcia, Joseph Lehar, Martin Kang, Marcus A. Badgeley
Quantification of BERT Diagnosis Generalizability Across Medical Specialties Using Semantic Dataset Distance. CoRR (2020)
Marcus A. Badgeley, John R. Zech, Luke Oakden-Rayner, Benjamin S. Glicksberg, Manway Liu, William Gale, Michael V. McConnell, Bethany Percha, Thomas M. Snyder, Joel T. Dudley
Deep learning predicts hip fracture using confounding patient and healthcare variables. npj Digit. Medicine 2 (2019)
Marcus A. Badgeley, Manway Liu, Benjamin S. Glicksberg, Mark M. Shervey, John R. Zech, Khader Shameer, Joseph Lehar, Eric K. Oermann, Michael V. McConnell, Thomas M. Snyder, Joel T. Dudley
CANDI: an R package and Shiny app for annotating radiographs and evaluating computer-aided diagnosis. Bioinform. 35 (9) (2019)
Benjamin S. Glicksberg, Boris Oskotsky, Phyllis M. Thangaraj, Nicholas Giangreco, Marcus A. Badgeley, Kipp W. Johnson, Debajyoti Datta, Vivek A Rudrapatna, Nadav Rappoport, Mark M. Shervey, Riccardo Miotto, Theodore C. Goldstein, Eugenia Rutenberg, Remi Frazier, Nelson Lee, Sharat Israni, Rick Larsen, Bethany Percha, Li Li, Joel T. Dudley, Nicholas P. Tatonetti, Atul J. Butte
PatientExploreR: an extensible application for dynamic visualization of patient clinical history from electronic health records in the OMOP common data model. Bioinform. 35 (21) (2019)
Marcus A. Badgeley, John R. Zech, Luke Oakden-Rayner, Benjamin S. Glicksberg, Manway Liu, William Gale, Michael V. McConnell, Beth Percha, Thomas M. Snyder, Joel T. Dudley
Deep Learning Predicts Hip Fracture using Confounding Patient and Healthcare Variables. CoRR (2018)
Khader Shameer, Benjamin S. Glicksberg, Rachel Hodos, Kipp W. Johnson, Marcus A. Badgeley, Ben Readhead, Max S. Tomlinson, Timothy O'Connor, Riccardo Miotto, Brian A. Kidd, Rong Chen, Avi Ma'ayan, Joel T. Dudley
Systematic analyses of drugs and disease indications in RepurposeDB reveal pharmacological, biological and epidemiological factors influencing drug repositioning. Briefings Bioinform. 19 (4) (2018)
John R. Zech, Marcus A. Badgeley, Manway Liu, Anthony B. Costa, Joseph J. Titano, Eric K. Oermann
Confounding variables can degrade generalization performance of radiological deep learning models. CoRR (2018)
Varun Arvind, Anthony B. Costa, Marcus A. Badgeley, Samuel K. Cho, Eric K. Oermann
Wide and deep volumetric residual networks for volumetric image classification. CoRR (2017)
Khader Shameer, Marcus A. Badgeley, Riccardo Miotto, Benjamin S. Glicksberg, Joseph W. Morgan, Joel T. Dudley
Translational bioinformatics in the era of real-time biomedical, health care and wellness data streams. Briefings Bioinform. 18 (1) (2017)
Benjamin S. Glicksberg, Li Li, Marcus A. Badgeley, Khader Shameer, Roman Kosoy, Noam D. Beckmann, Nam Pho, Jörg Hakenberg, Meng Ma, Kristin L. Ayers, Gabriel E. Hoffman, Shuyu Dan Li, Eric E. Schadt, Chirag J. Patel, Rong Chen, Joel T. Dudley
Comparative analyses of population-scale phenomic data in electronic medical records reveal race-specific disease networks. Bioinform. 32 (12) (2016)
Marcus A. Badgeley, Stuart C. Sealfon, Maria D. Chikina
Hybrid Bayesian-rank integration approach improves the predictive power of genomic dataset aggregation. Bioinform. 31 (2) (2015)