Machine learning-based risk prediction for invasive pulmonary aspergillosis in non-neutropenic intensive care unit patients, with an exploratory analysis of pathogen-related risk factors
The externally validated six-variable score offers a practical, software-free tool to support pathogen-informed, individualized risk stratification and clinical decision-making in the ICU, and challenges the conventional assumption of a uniform steroid-associated risk.
Ji-Jia Bai, Tao Feng, Bo-Fei Liu et al.
· Frontiers in Cellular and In... · 0 citations