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)

(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)

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)

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)

A Multi-View Joint Learning Framework for Embedding Clinical Codes and Text Using Graph Neural Networks. - Lecheng Kong; Christopher Ryan King; Bradley A. Fritz; Yixin Chen 001 (CoRR, 2023)

Time Associated Meta Learning for Clinical Prediction. - Hao Liu 057; Muhan Zhang; Zehao Dong; Lecheng Kong; Yixin Chen 001; Bradley A. Fritz; Dacheng Tao; Christopher Ryan King (CoRR, 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 001; Christopher Ryan King (Trans. Mach. Learn. Res., 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)

Expanding Critical Care Delivery beyond the Intensive Care Unit: Determining the Design and Implementation Needs for a Tele-Critical Care Consultation Service. - Joanna Abraham; Madhumitha Kandasamy; Bradley A. Fritz; Lisa Konzen; Jason White; Anne Drewry; Christopher Palmer (Appl. Clin. Inform., 2024)