Medical Data Processing and Analysis

• Andere auteurs: Mustafa, Wan Azani (Redacteur), Alquran, Hiam (Redacteur)
• Formaat: Elektronisch Hoofdstuk
• Taal: Engels
• Gepubliceerd in: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
• Onderwerpen: Technology: general issues; History of engineering & technology; Environmental science, engineering & technology; 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
• Online toegang: DOAB: download the publication; DOAB: description of the publication

Medical data can be defined as obtaining information from patients (such as signals, images, sounds, chemical components and their concentration, body temperature, respiratory rate, blood pressure, and different treatment measurements) to quantify the patient's status and disease stage. Compute...