Applying Machine Learning to Blood Count Data Predicts Sepsis with ICU Admission

BackgroundDelay in diagnosing sepsis results in potentially preventable deaths. Mainly due to their complexity or limited applicability, machine learning (ML) models to predict sepsis have not yet become part of clinical routines. For this reason, we created a ML model that only requires complete blood count (CBC) diagnostics. MethodsNon-intensive care unit... Show more