normal 0 false false false en-us x-none ar-sa microsoftinternetexplorer4 introduction: use of a computerised system improves the effectiveness and efficiency of a medical record department on condition that managers and medical record staff design it according to needs. methods: the present investigation was an applied-descriptive study. a checklist was provided from professional texts, article...

The use of patient-specific Decision Support Systems (DSS) may improve the quality and efficiency of health care, while reducing its costs at the same time. The adoption of such a system is largely compatible with the principles of " Evidence Based Medicine " and patient oriented care. PROMEDAS (PRObabilistic MEdical Diagnostic Advisory System) is a prototype DSS, based on a probabilistic model...

Current medical decision support systems have evolved from the automation of medical decision routines to improving the quality of health care services. Knowledge-based systems, compared to conventional data-driven techniques, are promising to support medical decision making. However, knowledge acquisition is usually a bottleneck in the process of developing such systems. One possibility for ac...

In this paper, application of artificial neural networks in typical disease diagnosis has been investigated. The real procedure of medical diagnosis which usually is employed by physicians was analyzed and converted to a machine implementable format. Then after selecting some symptoms of eight different diseases, a data set contains the information of a few hundreds cases was configured and app...

An important problem in intelligent tutoring systems and decision support systems in general concern the implementation of a convincing argumentation dialog between the system and the student or the user. The requirements for a convincing argumentation dialog can vary depending on the kinds of conflicts that arise in the exchanges between the system and the user. In this paper we discuss an app...

Manipulation of Male sexual dysfunction (or Impotence) that concerns 10% of the male population requires expertise and great experience. Different diagnostic approaches according to medical as well as to psychosocial and cultural characteristics of patients are usually followed. In this paper, a GA (genetic algorithm) driven intelligent system (GADIS) for diagnosis of male impotence is presente...

This paper presents a clinical diagnosis support system which combines the advantages of Dempster-Shafer theory with Bayesian networks in order to simulate the uncertain medical reasoning. We propose a hierarchical structure using Dempster-Shafer at the upper level for evaluating more general hypothesis (disease groups) and Bayesian networks at the lower level for a more accurate analysis of sp...

In this paper we present a novel system that utilizes molecular-level information for medical diagnosis. It accepts high dimensional vectors of gene expressions, quantified by means of microarray image analysis, as input. The proposed system incorporates various data pre-processing methods, such as missing values estimation and data normalization. A novel approach to the classification of gene ...

A fuzzy MLP model, developed by the author, is used as a connectionist expert system for diagnosing hepatobiliary disorders. It can handle uncertainty and/or impreciseness in the input as well as the output. The input to the network is modelled in terms of linguistic pi-sets whose centres and radii along each feature axis are determined from the distribution of the training data. In case of par...

Introduction: Since medical tourism is considered as an incremental activity in this sector and proper infrastructures in country to make medical tourism are lacking, announcement by authorities to provide perquisites of medical tourism to make the first clinic hotel and health town are necessary for the purpose of developing medical tourism in Iran, all of these side issues sh...