Bradley A. Fritz

According to our database, Bradley A. Fritz authored at least 14 papers between 2019 and 2024.

Collaborative distances:

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

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., January, 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

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

Time Associated Meta Learning for Clinical Prediction.

Hao Liu, Muhan Zhang, Zehao Dong, Lecheng Kong, Yixin Chen, Bradley A. Fritz, Dacheng Tao, Christopher Ryan King

CoRR, 2023

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

CoRR, 2023

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

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

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

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