CRP and appendicitis: For differentiating complicated versus uncomplicated appendicitis, SVC achieved moderate accuracy (70.19%) and ROC-AUC (76.33%), but low precision (14.85%) indicated challenges in minimizing false positives.<h4>Conclusion</h4>Machine learning models based on CBC and CRP show preliminary potential for predicting appendicitis, but given the surgical-only cohort and modest performance, further validation is needed before clinical use, particularly in low-resource settings.