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Medical Data Processing and Analysis

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Palabras clave – provistas por la editorial

atrial fibrillation; perfect matrix of Lagrange differences; statistical indicator; decision support system; deep learning; heart failure; mortality; risk prediction; time-varying covariates; motor imagery; Isolation Forest; anomaly detection; EEG signals classification; PIMA dataset; Type-2 diabetes; Recurrent Neural Networks; weight optimization; Hamlet Pattern; protein sequence classification; SARS-CoV-2; bioinformatics; machine learning; ensemble learning; heart disease; ECG; iris-spectrogram; scalogram; CNN; ResNet101; ShuffleNet; heart rhythm; H. pylori; atrophic gastritis; convolution neural network; feature fusion; Canonical Correlation Analysis; ReliefF; generalized additive model; diabetes mellitus; blood glucose prediction; forecasting; long short-term memory; nature-inspired feature selection; leukemia; white blood cell; classification; medical imaging; breast cancer; histopathological image; review; COVID-19 pandemic; hybrid models; public health; accuracy and efficiency; n/a

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