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Accuracy of Conventional Diagnostic Methods for Identifying Structural Changes in Patients with Focal Epilepsy

Nazim Dakaj, Jera Kruja, Fisnik Jashari, Dren Boshnjaku, Nexhat Shatri, Kamber Zeqiraj Abstract Background: Epilepsy is a neurological disorder characterized by abnormal firing of nerve impulses in the brain. Aim: This study aims to investigate the frequency of appearance of pathological changes in conventional examination methods (electroencephalography and #8211;EEG, brain computerized tomography -CT or brain [...]

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Designing and Implementation of Retina Image Drawing System and Automatic Report Generation from Retina Examinations

Reza Safdari, Mehrshad Mokhtaran, Shahram Tahmasebian Abstract Introduction: Electronic medical records as one of major parts of electronic health records is an important application of Medical Informatics. EMR includes different types of data, Graphical items being one of these data types. To this end, a standard structure for storing and recovering and finally exchanging this [...]

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Differential Diagnosis of Erythmato-Squamous Diseases Using Classification and Regression Tree

Keivan Maghooli, Mostafa Langarizadeh, Leila Shahmoradi, Mahdi Habibi-koolaee, Mohamad Jebraeily, Hamid Bouraghi Abstract 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 [...]

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The Prediction of the Risk Level of Pulmonary Embolism and Deep Vein Thrombosis through Artificial Neural Network

Laleh Agharezaei, Zhila Agharezaei, Ali Nemati, Kambiz Bahaadinbeigy, Farshid Keynia, Mohammad Reza Baneshi, Abedin Iranpour, Moslem Agharezaei Abstract Background: Venous thromboembolism is a common cause of mortality among hospitalized patients and yet it is preventable through detecting the precipitating factors and a prompt diagnosis by specialists. The present study has been carried out in order [...]

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Molecular Dynamic Screening Sesquiterpenoid Pogostemon Herba as Suggested Cyclooxygenase Inhibitor

Sentot Joko Raharjo, Takeshi Kikuchi Abstract Objective: Virtual molecular dynamic sesquiterpenoid Pogostemon Herba (CID56928117, CID94275, CID107152, and CID519743) have screening as cyclooxygenase (COX-1/ COX-2) selective inhibitor. Methods: Molecular interaction studies sesquiterpenoid compounds with COX-1 and COX-2 were using the molecular docking tools by Hex 8.0 and interactions were further visualized using by Discovery Studio Client [...]

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Effect of Dental Chair Light on Enamel Bonding of Orthodontic Brackets Using Light Cure Based Adhesive System: An In-Vitro Study

Anil Tiwari, Tarulatha Shyagali, Sarvraj Kohli, Rishi Joshi, Abhishek Gupta, and Rana Tiwari Abstract Aim: The aim of this in vitro study was to evaluate the influence of the Dental chair light on the bond strength of light cured composite resin. Materials and Methods: Sixty therapeutically extracted human premolar teeth were randomly allocated to two [...]

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Study of Scientific Production of Community MedicinesAND#8217; Department Indexed in ISI Citation Databases

Mohammad Khademloo, Ali Akbar Khaseh, Hasan Siamian, Kobra Aligolbandi, Mahsoomeh Latifi, Mousa Yaminfirooz Abstract Background. In the scientometric, the main criterion in determining the scientific position and ranking of the scientific centers, particularly the universities, is the rate of scientific production and innovation, and in all participations in the global scientific development. One of the [...]

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Information Expensiveness Perceived by Vietnamese Patients with Respect to Healthcare ProviderAND#8217;s Choice

Vuong Quan-Hoang Abstract Background: Patients have to acquire information to support their decision on choosing a suitable healthcare provider. But in developing countries like Vietnam, accessibility issues remain an obstacle, thus adversely affect both quality and costliness of healthcare information. Vietnamese use both sources from health professionals and friends/relatives, especially when quality of the Internet-based [...]

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Comparing Three Data Mining Methods to Predict Kidney Transplant Survival

Leila Shahmoradi, Mostafa Langarizadeh, Gholamreza Pourmand, Ziba Aghsaei Fard, Alireza Borhani Abstract 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 [...]

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