An Approach to Model Right Iliac Fossa Pain Using Pain-Only-Parameters for Screening Acute Appendicitis

摘要: Acute appendicitis (AA) is one of the commonest multiple possible pathologies at backdrop Right Iliac Fossa (RIF) pain. RIFis most common acute surgical condition abdomen. Even though AA a recognized disease entity since decades, its diagnosis still lacks clinical confidence and mandates laboratory tests. Given issue, this paper proposes mathematical model using Pain-Only-Parameters (POP) obtained from available literature to screen AA. Weights have been assigned for each POP create training data matrix (N?=?51) used calculate cumulative effect or weighted sum, which termed as Pain Confidence Score (PCS). Based on PCS, group real-world patients (N?=?40; NA?=?20 each) are classified cases non-appendicitis (NA) with satisfactory results (sensitivity 85%, specificity 75%, precision 77%, accuracy 80%). Most rural health centers (RHC) in developing nations lack specialist services related infrastructure. Hence, such tool could be useful RHC assist general physicians screening their timely referral higher centers.