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Journal Articles
- 2022
[j8]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: 102227 (2022)- 2019
- [j7]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): 1610-1612 (2019) - [j6]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): 4515-4518 (2019) - [j5]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) - 2018
- [j4]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): 656-678 (2018) - 2017
- [j3]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): 105-124 (2017) - 2016
- [j2]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): 101-110 (2016) - 2015
- [j1]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): 209-215 (2015)
Conference and Workshop Papers
- 2020
- [c2]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: 14-25 - [c1]Gabriel Schamberg, Marcus A. Badgeley, Emery N. Brown:
Controlling Level of Unconsciousness by Titrating Propofol with Deep Reinforcement Learning. AIME 2020: 26-36
Informal and Other Publications
- 2020
- [i5]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 abs/2008.06606 (2020) - [i4]Gabe Schamberg, Marcus A. Badgeley, Emery N. Brown:
Controlling Level of Unconsciousness by Titrating Propofol with Deep Reinforcement Learning. CoRR abs/2008.12333 (2020) - 2018
- [i3]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 abs/1807.00431 (2018) - [i2]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 abs/1811.03695 (2018) - 2017
- [i1]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 abs/1710.01217 (2017)
Coauthor Index
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