Predicting Hospital Readmission via Cost-Sensitive Deep Learning. - Haishuai Wang; Zhicheng Cui; Yixin Chen 001; Michael Avidan; Arbi Ben Abdallah; Alexander Kronzer (IEEE ACM Trans. Comput. Biol. Bioinform., 2018)

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 001 (AMIA, 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 001; Bernadette Henrichs; Mary C. Politi; Brian A. Torres; Angela Mickle; Thaddeus P. Budelier; Sherry McKinnon; et al. (F1000Research, 2019)

Postoperative Mortality Prediction with and Without the Use of Intraoperative Features. - Mohamed Abdelhack; Christopher Ryan King; Bradley A. Fritz; Sandhya Tripathi; Yixin Chen 001; Michael Avidan (AMIA, 2020)

Hierarchical Attention Propagation for Healthcare Representation Learning. - Muhan Zhang; Christopher Ryan King; Michael Avidan; Yixin Chen 001 (KDD, 2020)

(Un)fairness in Post-operative Complication Prediction Models. - Sandhya Tripathi; Bradley A. Fritz; Mohamed Abdelhack; Michael S. Avidan; Yixin Chen 001; Christopher Ryan King (CoRR, 2020)

RespWatch: Robust Measurement of Respiratory Rate on Smartwatches with Photoplethysmography. - Ruixuan Dai; Chenyang Lu 001; Michael Avidan; Thomas George Kannampallil (IoTDI, 2021)

Comparing stress prediction models using smartwatch physiological signals and participant self-reports. - Ruixuan Dai; Chenyang Lu 001; Linda Yun; Eric Lenze; Michael Avidan; Thomas George Kannampallil (Comput. Methods Programs Biomed., 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 001; Christopher Ryan King (CoRR, 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)

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)

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; et al. (NeuroImage, 2021)

Self-explaining Hierarchical Model for Intraoperative Time Series. - Dingwen Li; Bing Xue 003; Christopher Ryan King; Bradley A. Fritz; Michael Avidan; Joanna Abraham; Chenyang Lu 001 (ICDM, 2022)

Perioperative Predictions with Interpretable Latent Representation. - Bing Xue 003; York Jiao; Thomas George Kannampallil; Bradley A. Fritz; Christopher Ryan King; Joanna Abraham; Michael Avidan; Chenyang Lu 001 (KDD, 2022)

Deep Learning to Jointly Schema Match, Impute, and Transform Databases. - Sandhya Tripathi; Bradley A. Fritz; Mohamed Abdelhack; Michael S. Avidan; Yixin Chen 001; Christopher Ryan King (CoRR, 2022)

Algorithmic Bias in Machine Learning Based Delirium Prediction. - Sandhya Tripathi; Bradley A. Fritz; Michael S. Avidan; Yixin Chen 001; Christopher Ryan King (CoRR, 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)

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 001; Christopher Ryan King (Trans. Mach. Learn. Res., 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 003; Chenyang Lu 001; Michael S. Avidan (J. Biomed. Informatics, 2023)

Multi-view representation learning for tabular data integration using inter-feature relationships. - Sandhya Tripathi; Bradley A. Fritz; Mohamed Abdelhack; Michael S. Avidan; Yixin Chen 001; Christopher Ryan King (J. Biomed. Informatics, 2024)