Jeffrey M. Caterino

According to our database, Jeffrey M. Caterino authored at least 6 papers between 2021 and 2025.

Collaborative distances:

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

2025

SepsisCalc: Integrating Clinical Calculators into Early Sepsis Prediction via Dynamic Temporal Graph Construction.

Changchang Yin, Shihan Fu, Bingsheng Yao, Thai-Hoang Pham, Weidan Cao, Dakuo Wang, Jeffrey M. Caterino, Ping Zhang

CoRR, January, 2025

2024

SepsisLab: Early Sepsis Prediction with Uncertainty Quantification and Active Sensing.

Changchang Yin, Pin-Yu Chen, Bingsheng Yao, Dakuo Wang, Jeffrey M. Caterino, Ping Zhang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Rethinking Human-AI Collaboration in Complex Medical Decision Making: A Case Study in Sepsis Diagnosis.

Shao Zhang, Jianing Yu, Xuhai Xu, Changchang Yin, Yuxuan Lu, Bingsheng Yao, Melanie Tory, Lace M. K. Padilla, Jeffrey M. Caterino, Ping Zhang, Dakuo Wang

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

2023

Estimating treatment effects for time-to-treatment antibiotic stewardship in sepsis.

Ruoqi Liu, Katherine M. Hunold, Jeffrey M. Caterino, Ping Zhang

Nat. Mac. Intell., April, 2023

2022

Deconfounding Actor-Critic Network with Policy Adaptation for Dynamic Treatment Regimes.

Changchang Yin, Ruoqi Liu, Jeffrey M. Caterino, Ping Zhang

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

2021

An interpretable deep-learning model for early prediction of sepsis in the emergency department.

Dongdong Zhang, Changchang Yin, Katherine M. Hunold, Xiaoqian Jiang, Jeffrey M. Caterino, Ping Zhang

Patterns, 2021