Cross-algorithm machine learning and consensus features for early disseminated intravascular coagulation risk prediction in sepsis-induced coagulopathy - PubMed
18 hours ago
- #Machine Learning
- #Coagulopathy
- #Sepsis
- The study proposes a method for early disseminated intravascular coagulation risk prediction in sepsis-induced coagulopathy.
- It utilizes cross-algorithm machine learning and consensus features for the prediction model.
- The research employs a two-stage feature selection approach for interpretability.
- The authors declare no competing interests, stating the research was conducted without commercial or financial conflicts.
- The study is supported by several grants, including from the National Key Research and Development Program of China and the National Natural Science Foundation of China.