نورا احمد علي أحمد حنفي
معيد
Machine Learning-Based Classification of Liver Steatosis Using Bioimpedance Spectral Features
• 2025
معلومات البحث
المؤلفون
Noura Hanafy
الكلمات المفتاحية
Not Available
المجلة العلمية
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الناشر
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المجلد
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العدد
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الصفحات
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publication.type
Local
رابط البحث
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المواد المرفقة
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الملخص
Liver steatosis, or fatty liver disease, is an increasingly prevalent global health issue that can lead to severe complications like cirrhosis and carcinoma. While liver biopsy is the diagnostic "gold standard," it is invasive, time-consuming, and carries risks. Standard non-invasive methods like BIA often face limitations in accuracy due to physiological variability, low data variability, and the "curse of dimensionality" when handling high-dimensional spectral data.
