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2020 – today
- 2024
[j9]Sandhya Tripathi, Bradley A. Fritz, Mohamed Abdelhack
, Michael S. Avidan, Yixin Chen, Christopher Ryan King:
Multi-view representation learning for tabular data integration using inter-feature relationships. J. Biomed. Informatics 151: 104602 (2024)- 2023
- [j8]Joanna Abraham, Brian Bartek, Alicia Meng, Christopher Ryan King, Bing Xue, Chenyang Lu, Michael S. Avidan:
Integrating machine learning predictions for perioperative risk management: Towards an empirical design of a flexible-standardized risk assessment tool. J. Biomed. Informatics 137: 104270 (2023) - [j7]Mohamed Abdelhack, Jiaming Zhang, Sandhya Tripathi, Bradley A. Fritz, Daniel Felsky, Michael Avidan, Yi-Xin Chen, Christopher Ryan King:
A Modulation Layer to Increase Neural Network Robustness Against Data Quality Issues. Trans. Mach. Learn. Res. 2023 (2023) - 2022
- [j6]Joanna Abraham, Alicia Meng, Arianna Montes de Oca, Mary C. Politi, Troy Wildes, Stephen Gregory, Bernadette Henrichs, Thomas George Kannampallil, Michael S. Avidan:
An ethnographic study on the impact of a novel telemedicine-based support system in the operating room. J. Am. Medical Informatics Assoc. 29(11): 1919-1930 (2022) - [c6]Dingwen Li, Bing Xue, Christopher Ryan King, Bradley A. Fritz, Michael Avidan, Joanna Abraham, Chenyang Lu:
Self-explaining Hierarchical Model for Intraoperative Time Series. ICDM 2022: 1041-1046 - [c5]Bing Xue, York Jiao, Thomas George Kannampallil, Bradley A. Fritz, Christopher Ryan King, Joanna Abraham, Michael Avidan, Chenyang Lu:
Perioperative Predictions with Interpretable Latent Representation. KDD 2022: 4268-4278 - [i7]Sandhya Tripathi, Bradley A. Fritz, Mohamed Abdelhack, Michael S. Avidan, Yixin Chen, Christopher Ryan King:
Deep Learning to Jointly Schema Match, Impute, and Transform Databases. CoRR abs/2207.03536 (2022) - [i6]Dingwen Li, Bing Xue, Christopher Ryan King, Bradley A. Fritz, Michael Avidan, Joanna Abraham, Chenyang Lu:
Self-explaining Hierarchical Model for Intraoperative Time Series. CoRR abs/2210.04417 (2022) - [i5]Sandhya Tripathi, Bradley A. Fritz, Michael S. Avidan, Yixin Chen, Christopher Ryan King:
Algorithmic Bias in Machine Learning Based Delirium Prediction. CoRR abs/2211.04442 (2022) - 2021
- [j5]Ruixuan Dai, Chenyang Lu, Linda Yun, Eric Lenze, Michael Avidan, Thomas George Kannampallil:
Comparing stress prediction models using smartwatch physiological signals and participant self-reports. Comput. Methods Programs Biomed. 208: 106207 (2021) - [j4]Joanna Abraham, Alicia Meng, Carrie Sona, Troy Wildes, Michael Avidan, Thomas George Kannampallil:
An observational study of postoperative handoff standardization failures. Int. J. Medical Informatics 151: 104458 (2021) - [j3]Joanna Abraham, Alicia Meng, Katherine J. Holzer, Luke Brawer, Aparna Casarella, Michael Avidan, Mary C. Politi:
Exploring patient perspectives on telemedicine monitoring within the operating room. Int. J. Medical Informatics 156: 104595 (2021) - [j2]Catherine Duclos, Charlotte Maschke, Yacine Mahdid, Kathleen Berkun, Jason da Silva Castanheira, Vijay Tarnal, Paul Picton, Giancarlo Vanini, Goodarz Golmirzaie, Ellen Janke, Michael S. Avidan, Max B. Kelz, Lucrezia Liuzzi, Matthew J. Brookes, George A. Mashour, Stefanie Blain-Moraes:
Differential classification of states of consciousness using envelope- and phase-based functional connectivity. NeuroImage 237: 118171 (2021) - [c4]Ruixuan Dai, Chenyang Lu, Michael Avidan, Thomas George Kannampallil:
RespWatch: Robust Measurement of Respiratory Rate on Smartwatches with Photoplethysmography. IoTDI 2021: 208-220 - [i4]Mohamed Abdelhack, Jiaming Zhang, Sandhya Tripathi, Bradley A. Fritz, Michael Avidan, Yixin Chen, Christopher Ryan King:
A Modulation Layer to Increase Neural Network Robustness Against Data Quality Issues. CoRR abs/2107.08574 (2021) - 2020
- [c3]Mohamed Abdelhack, Christopher Ryan King, Bradley A. Fritz, Sandhya Tripathi, Yixin Chen, Michael Avidan:
Postoperative Mortality Prediction with and Without the Use of Intraoperative Features. AMIA 2020 - [c2]Muhan Zhang, Christopher Ryan King, Michael Avidan, Yixin Chen:
Hierarchical Attention Propagation for Healthcare Representation Learning. KDD 2020: 249-256 - [i3]Sandhya Tripathi, Bradley A. Fritz, Mohamed Abdelhack, Michael S. Avidan, Yixin Chen, Christopher Ryan King:
(Un)fairness in Post-operative Complication Prediction Models. CoRR abs/2011.02036 (2020)
2010 – 2019
- 2019
- [c1]Zhicheng Cui, Bradley A. Fritz, Christopher Ryan King, Michael Avidan, Yixin Chen:
A Factored Generalized Additive Model for Clinical Decision Support in the Operating Room. AMIA 2019 - [i2]Zhicheng Cui, Bradley A. Fritz, Christopher Ryan King, Michael S. Avidan, Yixin Chen:
A Factored Generalized Additive Model for Clinical Decision Support in the Operating Room. CoRR abs/1907.12596 (2019) - [i1]Christopher Ryan King, Joanna Abraham, Thomas George Kannampallil, Bradley A. Fritz, Arbi Ben Abdallah, Yixin Chen, Bernadette Henrichs, Mary C. Politi, Brian A. Torres, Angela Mickle, Thaddeus P. Budelier, Sherry McKinnon, Stephen Gregory, Sachin Kheterpal, Troy Wildes, Michael S. Avidan, TECTONICS Research Group:
Protocol for the Effectiveness of an Anesthesiology Control Tower System in Improving Perioperative Quality Metrics and Clinical Outcomes: the TECTONICS randomized, pragmatic trial. F1000Research 8: 2032 (2019) - 2018
- [j1]Haishuai Wang, Zhicheng Cui, Yixin Chen, Michael Avidan, Arbi Ben Abdallah, Alexander Kronzer:
Predicting Hospital Readmission via Cost-Sensitive Deep Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 15(6): 1968-1978 (2018)
Coauthor Index
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