Findings suggest that specific antibiotic treatments or adjusted environmental controls during warmer seasons could potentially decrease infection rates. PubMed Central (PMC) (.gov) 2. The SSIs-927 Patient Cohort (PENGUIN Trial) The number refers to the total number of patients recruited for the
For more detailed trial data, you can review the full text of the PENGUIN pilot trial at BJA Open used to predict these infections? ssis927 hot
A major challenge in SSI research is that only a small percentage of patients (e.g., 2.7%) develop an infection, creating an "imbalanced classification problem". Best Models: Random Forest (RF) A major challenge in SSI research is that
The trial reported high safety for both interventions, with no serious adverse events related to oxygen delivery or the mouthwash. 3. Predicting SSIs with Machine Learning Research published in early 2025 highlights the use of Machine Learning (ML) to predict which patients are at risk of SSIs. PubMed Central (PMC) (.gov) Imbalanced Data: Predicting SSIs with Machine Learning Research published in
This seasonal trend allows clinicians to adjust preoperative patient information and surgical planning for high-risk patients during the summer months. Preventative Measures: