A Group of Medical Specialist in Determining the Priority of Stroke Patient Treatment

The hemorrhagic stroke patients require the urgent and accurate treatments to handle the patients and they can be done by the approaches of the science of the intelligent systems and one of them is by using a decision support system method, based on the parameter features experienced and suffered by the patient. These patient's symptoms and features parameters are used as the input for the decision support system to determine the priority of the medical treatment, namely the operative or the conservative treatments. This study aimed to develop a decision support model for a medical expert group by utilizing the parameter features obtained from the examination results in the emergency installation unit. The results of this study were in the form of a group of medical expert decision models in which each of them had various parameter features that were used to support the operative and the conservative treatments for hemorrhage stroke patients. For individual decision models, the features weighting was carried out directly by the specialist doctors. To determine the patient's feature score towards the patient's treatment, a method was developed by using a linear interpolation to determine the score to substitute the use of gap.