Michael Avidan

According to our database, Michael Avidan authored at least 20 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Multi-view representation learning for tabular data integration using inter-feature relationships.

Sandhya Tripathi, Bradley A. Fritz, Mohamed Abdelhack, Michael S. Avidan, Yixin Chen, Christopher Ryan King

J. Biomed. Informatics, 2024

2023

Integrating machine learning predictions for perioperative risk management: Towards an empirical design of a flexible-standardized risk assessment tool.

Joanna Abraham, Brian Bartek, Alicia Meng, Christopher Ryan King, Bing Xue, Chenyang Lu, Michael S. Avidan

J. Biomed. Informatics, January, 2023

A Modulation Layer to Increase Neural Network Robustness Against Data Quality Issues.

Mohamed Abdelhack, Jiaming Zhang, Sandhya Tripathi, Bradley A. Fritz, Daniel Felsky, Michael Avidan, Yi-Xin Chen, Christopher Ryan King

Trans. Mach. Learn. Res., 2023

2022

An ethnographic study on the impact of a novel telemedicine-based support system in the operating room.

Joanna Abraham, Alicia Meng, Arianna Montes de Oca, Mary C. Politi, Troy Wildes, Stephen Gregory, Bernadette Henrichs, Thomas George Kannampallil, Michael S. Avidan

J. Am. Medical Informatics Assoc., 2022

Algorithmic Bias in Machine Learning Based Delirium Prediction.

Sandhya Tripathi, Bradley A. Fritz, Michael S. Avidan, Yixin Chen, Christopher Ryan King

CoRR, 2022

Deep Learning to Jointly Schema Match, Impute, and Transform Databases.

Sandhya Tripathi, Bradley A. Fritz, Mohamed Abdelhack, Michael S. Avidan, Yixin Chen, Christopher Ryan King

CoRR, 2022

Perioperative Predictions with Interpretable Latent Representation.

Bing Xue, York Jiao, Thomas George Kannampallil, Bradley A. Fritz, Christopher Ryan King, Joanna Abraham, Michael Avidan, Chenyang Lu

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Self-explaining Hierarchical Model for Intraoperative Time Series.

Dingwen Li, Bing Xue, Christopher Ryan King, Bradley A. Fritz, Michael Avidan, Joanna Abraham, Chenyang Lu

Proceedings of the IEEE International Conference on Data Mining, 2022

2021

Differential classification of states of consciousness using envelope- and phase-based functional connectivity.

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

NeuroImage, 2021

An observational study of postoperative handoff standardization failures.

Joanna Abraham, Alicia Meng, Carrie Sona, Troy Wildes, Michael Avidan, Thomas George Kannampallil

Int. J. Medical Informatics, 2021

Exploring patient perspectives on telemedicine monitoring within the operating room.

Joanna Abraham, Alicia Meng, Katherine J. Holzer, Luke Brawer, Aparna Casarella, Michael Avidan, Mary C. Politi

Int. J. Medical Informatics, 2021

A Modulation Layer to Increase Neural Network Robustness Against Data Quality Issues.

Mohamed Abdelhack, Jiaming Zhang, Sandhya Tripathi, Bradley A. Fritz, Michael Avidan, Yixin Chen, Christopher Ryan King

CoRR, 2021

Comparing stress prediction models using smartwatch physiological signals and participant self-reports.

Ruixuan Dai, Chenyang Lu, Linda Yun, Eric Lenze, Michael Avidan, Thomas George Kannampallil

Comput. Methods Programs Biomed., 2021

RespWatch: Robust Measurement of Respiratory Rate on Smartwatches with Photoplethysmography.

Ruixuan Dai, Chenyang Lu, Michael Avidan, Thomas George Kannampallil

Proceedings of the IoTDI '21: International Conference on Internet-of-Things Design and Implementation, 2021

2020

(Un)fairness in Post-operative Complication Prediction Models.

Sandhya Tripathi, Bradley A. Fritz, Mohamed Abdelhack, Michael S. Avidan, Yixin Chen, Christopher Ryan King

CoRR, 2020

Hierarchical Attention Propagation for Healthcare Representation Learning.

Muhan Zhang, Christopher Ryan King, Michael Avidan, Yixin Chen

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Postoperative Mortality Prediction with and Without the Use of Intraoperative Features.

Mohamed Abdelhack, Christopher Ryan King, Bradley A. Fritz, Sandhya Tripathi, Yixin Chen, Michael Avidan

Proceedings of the AMIA 2020, 2020

2019

Protocol for the Effectiveness of an Anesthesiology Control Tower System in Improving Perioperative Quality Metrics and Clinical Outcomes: the TECTONICS randomized, pragmatic trial.

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

F1000Research, 2019

A Factored Generalized Additive Model for Clinical Decision Support in the Operating Room.

Zhicheng Cui, Bradley A. Fritz, Christopher Ryan King, Michael Avidan, Yixin Chen

Proceedings of the AMIA 2019, 2019

2018

Predicting Hospital Readmission via Cost-Sensitive Deep Learning.

Haishuai Wang, Zhicheng Cui, Yixin Chen, Michael Avidan, Arbi Ben Abdallah, Alexander Kronzer

IEEE ACM Trans. Comput. Biol. Bioinform., 2018