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Article
Big-data Management using Map Reduce on Cloud: Case study, EEG Images' Data
إدارة البيانات الضخمة باستخدام تقنية المابريديوس على الحوسبة السحابية: دراسة حالة، بيانات صور المخططات التحليل العصبي

Author: Sahar Mahdie Klim سحر مهدي غليم
Journal: Al-Khwarizmi Engineering Journal مجلة الخوارزمي الهندسية ISSN: 18181171 23120789 Year: 2017 Volume: 13 Issue: 1 Pages: 129-137
Publisher: Baghdad University جامعة بغداد

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Abstract

Database is characterized as an arrangement of data that is sorted out and disseminated in a way that allows the client to get to the data being put away in a simple and more helpful way. However, in the era of big-data the traditional methods of data analytics may not be able to manage and process the large amount of data. In order to develop an efficient way of handling big-data, this work studies the use of Map-Reduce technique to handle big-data distributed on the cloud. This approach was evaluated using Hadoop server and applied on EEG Big-data as a case study. The proposed approach showed clear enhancement for managing and processing the EEG Big-data with average of 50% reduction on response time. The obtained results provide EEG researchers and specialist with an easy and fast method of handling the EEG big data.

قاعدة البيانات، تعرف بمجموعة من البيانات المرتبة والموزعة بطريقة تسمح للمستخدم بالوصول إليها بطريقة سهلة ومناسبة. لكن في عصر البيانات الضخمة، الطرق القديمة في إدارة البيانات لا تستطيع إدارة هذا الكم الهائل من البيانات. لكي يتم تطوير طريقة فعالة في إدارة هذه البيانات الضخمة. هذا البحث يدرس استخدام تقنية المابريديوس في معالجة البيانات الضخمة الموزعة على السحابة المحوسبة. هذه التقنية تم تقييمها باستخدام خادم الهادوب وتم تطبيقها على بيانات مأخوذة من صور التخطيط الدماغي، كدراسة حالة. الطريقة المقدمة في هذا العمل أظهرت تحسن واضح على إدارة ومعالجة البيانات الضخمة. بمعدل تحسين يساوي 50% مقارنة بالطرق الاعتيادية في معالجة وإدارة نفس البيانات. وهو ما يوفر طريقة سهلة وسريعة في التعامل مع البيانات الضخمة.


Article
The significance of EEG recording in confirming the diagnosis of epilepsy in cases referred for the 1st time

Authors: QASSIM HADI AL-AWADI --- ALA KHALIL AL-BIEROUTI
Journal: Mustansiriya Medical Journal مجلة المستنصرية الطبية ISSN: 20701128 22274081 Year: 2006 Volume: 6 Issue: 1 Pages: 77-85
Publisher: Al-Mustansyriah University الجامعة المستنصرية

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Abstract

Aim: To discuss the significance of EEG as a routine clinical diagnostic tool in first recording of newly discovered or suspected cases of epilepsy.Method: The study has included 246 patient referred for the first time in year 1992 by neurologist and psychiatrist to a private EEG clinic with good description suggesting the diagnosis of epilepsy, the cases were 124 females and 122 males. The positive specific + nonspecific and the negative recording results were correlated according to the type of seizures, sex and age of the patients and then compared with other studies to see how much EEG recording is précised in confirming the clinical diagnosis of epilepsy.Result: The EEG recording for the 1st time of 246 patient showed 141 (57.4%) cases had positive findings including specific and non-specific abnormality while 105 patients (42.6%) had no evidence suggestive of epilepsy similar result of 60 % had been found by Kugler 1964. Conclusion: Although EEG has an important rule in confirming the clinical diagnosis of epilepsy it has failed in many ways to satisfy early expectation as a diagnostic aid but it can merely serve to diminish the probability of its existence.

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