Logistic regression is a powerful statistical method that is used to model the probability that a set of explanatory (independent or predictor) variables predict data in an outcome (dependent or ...

The proposed nomogram demonstrated strong predictive accuracy and clinical usefulness, offering a valuable tool for early ...

Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable ...

This study investigates the relationship between diabetes mellitus (DM), glycated haemoglobin (HbA1c), and postoperative outcomes among patients undergoing hip and knee arthroplasty.We conducted a ...

Learn how dynamic CT detects resistant postpartum haemorrhage, aiding timely interventions and better maternal care.