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 016 (Patterns, 2021)

Deconfounding Actor-Critic Network with Policy Adaptation for Dynamic Treatment Regimes. - Changchang Yin; Ruoqi Liu; Jeffrey M. Caterino; Ping Zhang 016 (KDD, 2022)

Estimating treatment effects for time-to-treatment antibiotic stewardship in sepsis. - Ruoqi Liu; Katherine M. Hunold; Jeffrey M. Caterino; Ping Zhang 016 (Nat. Mac. Intell., 2023)

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 003; Bingsheng Yao; Melanie Tory; Lace M. K. Padilla; Jeffrey M. Caterino; Ping Zhang 016; Dakuo Wang (CHI, 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 016 (KDD, 2024)

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 016 (KDD (1), 2025)