Studying the cases of heart and arteries nutrition for cardiac patients in the Syrian community using bioinformatics tools

الموضوعات

علوم تطبيقية وتكنولوجية

الملخص

Cardiovascular diseases(CVD)are one of them Ost causes of death worldwide. Although of many habits like smoking and comorbidities are considered as a risk factors for developing CVD, poor eating habits should be taken into consideration. Bioinformatics tools provide powerful computational methods for analyzing CVD data. Therefore, the aim of this study was to develop a machine learning models to predict the deferent CVD to make the right decision in the protocol treatments of patients. The data set was collected from Al-WATANI hospital in Sweida, which included patients demographic, comorbidities, and dietary. The dataset was further split into training (60%) and test (40%) sets for building model and evaluating. Our study included183patients of which111 patients were with hypertension, 33 patients with Infarction, 20 patients with congestive heart failure, and 19 patients with arrhythmia. Moreover, the accuracy of the algorithms varied, with support vector machine achieving the lowest accuracy of 71.62%, while it increased remarkably to 91.74% when applying the balanced weights. We also found that decision tree and random forest (tree depth=5) achieved the same accuracies of 85.14%. However, when increasing the depth of the trees to 10, 15, or 20, the accuracy increased to 87.84% and remained steady. These models demonstrated high accuracy and reliability, making them valuable tools for clinical decision-making .

روابط وملفات

التعريف والنوع

رقم الوثيقة

043df8e4-1ed3-466b-9257-b5b1acd80732

رقم العقد

0

نوع الوسائط

Crawler

نوع المحتوى

الرسائل العلمية

صيغة المصدر

رسائل ماجيستير

نوع الملف

pdf text

أسماء الملفات

043df8e4-1ed3-466b-9257-b5b1acd80732_1.pdf

بيانات النشر

ألقاب المؤلفين

[{"name_ar":"Basma Alashoush","title_ar":"اعداد","title_en":"Preparation"},{"name_ar":"Yanal Ahmad Alkudsi","title_ar":"اشراف","title_en":"Supervision"}]

اللغة

English

المصدر والدورية

اسم المصدر

Studying the cases of heart and arteries nutrition for cardiac patients in the Syrian community using bioinformatics tools

المحتوى والصفحات

عدد الصفحات

0

إشراف وإعداد

الإشراف

Yanal Ahmad Alkudsi

الإعداد

Basma Alashoush

الاقتباسات الببليوغرافية