Algorithms

This study is a pilot trial that builds on findings from the validation of prostate cancer risk calculators in Nigerian men. The goal of the overall study is to improve the early detection of prostate cancer in a high-risk population. The main questions the validation study aims to answer are: 1. How accurately do existing prostate cancer risk calculators identify Nigerian men with clinically significant prostate cancer? 2. Will a new risk calculator designed for Nigerian men more accurately identify those with clinically significant prostate cancer? The main questions the intervention study aims to answer is: Will the primary care provider-facing risk calculator be feasible and acceptable for primary care providers to implement? The intervention trial will be piloted among participants in community-level hospitals in order to primarily assess implementation outcomes

An increasing amount of evidence from evidence-based medicine indicates that early rehabilitation intervention for patients receiving mechanical ventilation is safe and feasible, and can promote functional recovery and reduce hospital stay. However, the conscious state, respiratory function, and daily living activities of these patients after being discharged from the ICU vary greatly, and some patients do not show obvious benefits. How to identify which patients may have benefit from early rehabilitation is a key issue that needs to be addressed in critical care rehabilitation. This study aims to investigate the clinical data related to the disease of the ICU survivors who received mechanical ventilation as the research object, by collecting their clinical data when receiving early rehabilitation intervention, and constructing a clinical prediction model for the efficacy of early rehabilitation intervention in the ICU through the selection of optimal regression equation or machine learning algorithm. The application of this model can effectively determine whether ICU inpatients need early rehabilitation intervention, thereby reducing complication rates and improving their quality of life.