Prognostics and health management: A review from the perspectives of design, development and decision. - Yang Hu 003; Xuewen Miao; Yong Si; Ershun Pan; Enrico Zio (Reliab. Eng. Syst. Saf., 2022)

Development of Interactive Nomograms for Predicting Short-Term Survival in ICU Patients with Aplastic Anemia. - Junyi Fan; Shuheng Chen; Li Sun; Yong Si; Elham Pishgar; Kamiar Alaei; Greg Placencia; Maryam Pishgar (CoRR, 2025)

Clinically Interpretable Mortality Prediction for ICU Patients with Diabetes and Atrial Fibrillation: A Machine Learning Approach. - Li Sun; Shuheng Chen; Yong Si; Junyi Fan; Maryam Pishgar; Elham Pishgar; Kamiar Alaei; Greg Placencia (CoRR, 2025)

Early Mortality Prediction in ICU Patients with Hypertensive Kidney Disease Using Interpretable Machine Learning. - Yong Si; Junyi Fan; Li Sun; Shuheng Chen; Minoo Ahmadi; Elham Pishgar; Kamiar Alaei; Greg Placencia; Maryam Pishgar (CoRR, 2025)

Prediction of Significant Creatinine Elevation in First ICU Stays with Vancomycin Use: A retrospective study through Catboost. - Junyi Fan; Li Sun; Shuheng Chen; Yong Si; Minoo Ahmadi; Greg Placencia; Elham Pishgar; Kamiar Alaei; Maryam Pishgar (CoRR, 2025)

Optimized feature selection and advanced machine learning for stroke risk prediction in revascularized coronary artery disease patients. - Yong Si; Armin Abdollahi; Negin Ashrafi; Greg Placencia; Elham Pishgar; Kamiar Alaei; Maryam Pishgar (BMC Medical Informatics Decis. Mak., 2025)