Clinical Prediction Model Development and Validation for the Detection of Newborn Sepsis, Diagnostic Research Protocol.

A cross-sectional study based on an institution will be carried out. The sample size was determined by assuming 10 events per predictor, based on this assumption, the total sample sizes were 467. Data will be collected using a structured checklist through chart review. Data will be coded, inputted, and analyzed using R statistical programming language version 4.0.4 after being entered into Epidata version 3.02 and further processed and analyzed. Bivariable logistic regression will be done to identify the relationship between each predictor and neonatal sepsis. In a multivariable logistic regression model, significant factors (P< 0.05) will be kept, while variables with (P< 0.25) from the bivariable analysis will be added. By calculating the area under the ROC curve (discrimination) and the calibration plot (calibration), respectively, the model's accuracy and goodness of fit will be evaluated.