Automated detection of diabetic subject using pre-trained 2D-CNN models with frequency spectrum images extracted from heart rate signals - Yildirim, Ozal; Talo, Muhammed; Ay, Betul; Baloglu, Ulas Baran; Aydin, Galip; Acharya, U. Rajendra (Computers in biology and medicine, 2019)
Keywords: Accuracy; Annotations; Artificial intelligence; Automation; Classification; Conflicts of interest; Data processing; Datasets; Decision trees; Deep learning; Diabetes; Diabetes mellitus; Diabetic neuropathy; Diabetic retinopathy; EKG; Electrocardiography; Fourier transforms; Frequency spectrum; Heart rate; Heart rate signals; Image detection; Insulin; Machine learning; Medical imaging; Model accuracy; Model testing; Neural networks; Performance evaluation; Signal analysis; Signal processing; Transfer learning; Two dimensional models; Wavelet transforms; Weighting; Deep learning; Heart rate signals; Transfer learning; Diabetes mellitus