Determination of Minimum Data Set for Designing a Diagnosis Decision Support System and Medication Follow-Up for Multiple Sclerosis

Designing and evaluation of a decision support system for prediction of coronary artery disease

Introduction: Since human health is the issue of Medical Research, correct prediction of results is of a high importance. This study applies probabilistic neural network (PNN) for predicting coronary artery disease (CAD), because the PNN is stronger than other methods. Methods: In this descriptive-analytic study, The PNN method was implemented on 150 patients admitted to the Mazandaran Heart...

A minimum data set for chronic venous disease

Designing a Minimum Data Set for Major Thalassemia Patients: Towards Electronic Personal Health Record

Introduction: In advanced medicine, large amounts of data are produced. However, there is always a gap between their collection and their understanding and interpretation. Thus, the minimum data sets are prepared. Thalassemia major is a chronic genetic blood disorder and the most common genetic disorder in the world. So, the aim of this study was to determine the data set for personal health re...

designing a decision support system for prioritizing of banks’ branches

the banks are the most important symbol of monetary market in any country without exception. as the optimum function of the banks have important role in economic development of the country, creating the ground for qualitative and quantitative promotion of the banks performance in healthy competition can play important role in achieving the goals. one of the methods helping the bank’s branches t...

Designing and Evaluating an Education-based Follow-up System for Cardiac Patients

Introduction: Chronic diseases are among the most challenging health issues in the world. Although no definitive treatment has been found for such diseases, electronic health strategies can dramatically reduce their complications by enhancing patientschr('39') awareness and monitoring their treatment. The main objective of this study was to design an education-based follow-up system for cardiac...

designing a decision support system (dss) for supplier selection in multiple discount environment

this research aims at developing original components of decision support system (dss) in order to support the evaluation and selection of suppliers in multi products having limited capacity. to achieve this purpose, researchers have proposed three different models based on which suppliers allow selecting their own desired type of discount. firstly based on the performed studies, some criteria h...