Symptom Dataset of 182 Influenza Patients for Soft Set and Entropy Analysis

This dataset contains the anonymized binary symptom profiles of 182 patients diagnosed with influenza at Milas State Hospital, Turkey. The data is structured as a soft set for use in the study titled 'Parameter Selection Using Shannon Entropy in Soft Set Theory: An Application to Medical Diagnosis'. The dataset includes 8 symptoms as defined by the WHO. Each row represents a patient, and each column indicates the presence (1) or absence (0) of a symptom.