Heart disease is a significant and impactful health condition that ranks as the leading cause of death in many countries. In order to aid physicians in diagnosing cardiovascular diseases, clinical datasets are available for reference. However, with the rise of big data and medical datasets, it has become increasingly challenging for medical practitioners to accurately predict heart disease due to the abundance of unrelated and redundant features that hinder computational complexity and accuracy. As such, this study aims to identify the most discriminative features within high-dimensional datasets while minimizing complexity and improving accuracy through an Extra Tree feature selection based technique. The work study assesses the efficacy of several classification algorithms on four reputable datasets, using both the full features set and the reduced features subset selected through the proposed method. The results show that the feature selection technique achieves outstanding classification accuracy, precision, and recall, with an impressive 97% accuracy when used with the Extra Tree classifier algorithm. The research reveals the promising potential of the feature selection method for improving classifier accuracy by focusing on the most informative features and simultaneously decreasing computational burden.
This study attempts to highlights on the evaluation of performance efficiency for Investments in both National & Iraqi Insurance companies for the years 2001-2010 and their importance on those companies and the economy of the country in order to find out the investment areas and to compare between investment activity and its revenues as well as to compare performance of both companies in investment field.
The study was based on annual reports and balance sheets of both companies. In many chapters, this study dealt with theoretical and practical aspects of the investments and its revenues. Key hypothesis was based on this study, including four parts of Sub hypotheses about (statistical effective relationship between the
... Show MoreThe importance of economic and technical feasibility studies include all of the investor, the society, the banks, the project and the government. As it will assist in achieving the optimal use of the available economic incomes on the national level and arranging the projects in priority which participates in achieving the government benefit without wasting the amounts .This is the research goal So, the research covered its theoretical aspect, of SAIs and the economic and technical feasibility studies then the role of the auditors in auditing those studies Then a mechanism was proposed includes a guidebook that provides guidelines for organizing the process of preparing and auditi
... Show Moreدرست الباحثة البنية الإيقاعية عند الشاعر الصقلي
أن الوعي الذاتي والمعرفة قد برزت أهميتها في الفكر السياسي الليبرالي الحديث وجاءت من أجل المناداة بأهمية الوعي في جوهر الفرد فقد بين أغلب المفرين وأبرزهم جون لوك وايمانويل كانط، أكد لوك بأن حالة الوعي الذاتي تكتسب بالتجربة من خلال الإحساس والتأمل او التفكير، فالعقل صفحة بيضاء خاوية ولا توجد فيها أفكار فطرية ولكن في نفس الوقت يؤكد على وجود قوة فطرية في العقل وليست أفكار يمكن ان تحول الأفكار البسيطة الى مركبة م
... Show Moreالآخر في الشعر العربي الحديث (من نكسة حزيران إلى أخريات الألفية الثانية)
The Andalusi did not leave any poetic art without expressing his psychological and sentimental emotions and the depth of emotions and it sincerity. We found Andalusian translated his emotions into poetry and in many different subjects
يهدف البحث التعرف على اثر استراتيجية القوائم المركزة في تحصيل مادة الكيمياء عند طلاب الصف الثاني المتوسط وتم استخدام المنهد التجريبي ذو الضبط الجزئي وكذلك تم اختيار مجامع البحث جميع طلاب المدارس الثانوية والمتوسطة التابعة لمديرية تربية كربلاء
يهدف البحث الى قياس مستوى ارتباط وتأثير القدرات المعرفية الدينامية في تنافسية الاعمال، وتكونت العينة من (155) فردا في اربعة مصانع للالبان في بغداد وهي (ابو غريب، والزراعة، والحلال، وعيون الرافدين) اذ تمثل مجتمع البحث من اصحاب المصانع، والمديرين والعاملين في السيطرة النوعية والبحث والتطوير والمهندسين والفنيين والعاملين ذوي الخبرة في صناعة الالبان. وجرى تحليل البيانات واختبار الفرضيات باستخدام الادوات الإحصا
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