Abstract: One of the common causes of medical emergencies in Malaysia is the Upper Gastrointestinal Bleeding (UGIB). This bleeding comprises of two types, namely, the variceal bleeding and the non-variceal bleeding. Although, UGIB has been frequently researched in general, not much reference has been done with regard to the specific factors that affect the type of bleeding. Hence, this research aims at determining these factors via a Multiple Binary Logit (MBL) approach based on the patients’ information obtained from the Queen Elizabeth Hospital in Kota Kinabalu. From the twenty-eight independent variables, three are quantitative would be analyzed, while twenty-five are qualitative would be transformed into dummy variables. Four phases in a model-building approach are executed to obtain the best model. The three qualitative variables (age, systolic blood pressure and Blatchford score) have interacted with the other dummy variables to affect the type of bleeding on the patients. The main contributing factors to the type of bleeding are identified as Race, Blood Urea Nitrogen and Medical Shock since they require no interactions with the other variables in the models.