Mostafa Langarizadeh

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Business intelligence (BI) refers to technologies, tools, and practices for collecting, integrating, analyzing, and presenting large volumes of information to enable better decision making. The aim of this study is to provide a general overview of BI and its impacts on improving hospital performance. In this paper, literature is reviewed on the concept,(More)
OBJECTIVE To review published evidences about using information technology interventions in diabetes care and determine their effects on managing diabetes. DESIGN Systematic review of information technology based interventions. RESEARCH DESIGN AND METHODS MEDLINE®/PubMed were electronically searched for articles published between 2004/07/01 and(More)
INTRODUCTION Telemedicine is an application of information and communication technology in the healthcare environment. This study aimed to compare knowledge and perceptions of telemedicine technology among different groups of clinicians. METHODS This survey study was conducted in 2013. The potential participants included 532 clinicians who worked in two(More)
INTRODUCTION Naive Bayesian networks (NBNs) are one of the most effective and simplest Bayesian networks for prediction. OBJECTIVE This paper aims to review published evidence about the application of NBNs in predicting disease and it tries to show NBNs as the fundamental algorithm for the best performance in comparison with other algorithms. METHODS(More)
Introduction: Chronic kidney disease (CKD) includes a wide range of pathophysiological processes which will be observed along with abnormal function of kidneys and progressive decrease in glomerular filtration rate (GFR). According to the definition decreasing GFR must have been present for at least three months. CKD will eventually result in end-stage(More)
INTRODUCTION Case-based reasoning (CBR) systems are one of the effective methods to find the nearest solution to the current problems. These systems are used in various spheres as well as industry, business, and economy. The medical field is not an exception in this regard, and these systems are nowadays used in the various aspects of diagnosis and(More)
BACKGROUND Chronic Obstructive Pulmonary Disease (COPD) is the most common known complication of exposure to mustard gas. Thus, all clinical guidelines have provided some recommendation for diagnosis, clinical management and treatment of this disease. Decision support systems are used to increase the acceptance of clinical guidelines. The purpose of this(More)
INTRODUCTION One of the most important complications of post-transplant is rejection. Analyzing survival is one of the areas of medical prognosis and data mining, as an effective approach, has the capacity of analyzing and estimating outcomes in advance through discovering appropriate models among data. The present study aims at comparing the effectiveness(More)
INTRODUCTION Differential diagnosis of Erythmato-Squamous Diseases (ESD) is a major challenge in the field of dermatology. The ESD diseases are placed into six different classes. Data mining is the process for detection of hidden patterns. In the case of ESD, data mining help us to predict the diseases. Different algorithms were developed for this purpose.(More)