Fu-Yuan Cheng’s indexed work centers on the application of predictive modeling to clinical and organizational challenges. Their most prominent research involves the development of machine learning models to predict ICU transfers for hospitalized COVID-19 patients, a 2020 study that has received over 200 citations for its utility in pandemic resource management. Beyond acute clinical care, Cheng has explored diverse computational frameworks, including the implementation of a Springboot-based talent recruitment management system designed for small enterprises. Publicly indexed outputs suggest an additional interest in theoretical modeling, evidenced by senior-author contributions regarding variable fuzzy sets for artificial emotions prediction and the characterization of genetic risk factor interactions. The researcher’s broader contributions include significant middle-author roles in large-scale clinical validation studies. Cheng contributed to the development of