Prediksi Diabetes Berdasarkan Hipertensi dan Obesitas Menggunakan Algoritma Logistic Regression di Puskesmas Setiabudi
This study aimed to apply logistic regression to predict diabetes status among patients at Setiabudi Public Health Center and to analyze the relationship between predictor variables and the predicted probability of diabetes. The secondary dataset comprised 2,013 patients: 1,962 with a Normal status and 51 with a Diabet...