Computational Intelligence in Healthcare

• Other Authors: Castellano, Giovanna (Editor), Casalino, Gabriella (Editor)
• Format: Electronic Book Chapter
• Language: English
• Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
• Subjects: Information technology industries; sEMG; deep learning; neural networks; gait phase; classification; everyday walking; convolutional neural network; CRISPR; leukemia nucleus image; segmentation; soft covering rough set; clustering; machine learning algorithm; soft computing; multistage support vector machine model; multiple imputation by chained equations; SVM-based recursive feature elimination; unipolar depression; diabetic retinopathy (DR); pre-trained deep ConvNet; uni-modal deep features; multi-modal deep features; transfer learning; 1D pooling; cross pooling; IMU; gait analysis; long-term monitoring; multi-unit; multi-sensor; time synchronization; Internet of Medical Things; body area network; MIMU; early detection; sepsis; evaluation metrics; machine learning; medical informatics; feature extraction; physionet challenge; electrocardiogram; Premature ventricular contraction; sparse autoencoder; unsupervised learning; Softmax regression; medical diagnosis; artificial neural network; e-health; Tri-Fog Health System; fault data elimination; health status prediction; health status detection; health off; diffusion tensor imaging; ensemble learning; decision support systems; healthcare; computational intelligence; Alzheimer's disease; fuzzy inference systems; genetic algorithms; next-generation sequencing; ovarian cancer; interpretable models; n/a
• Online Access: DOAB: download the publication; DOAB: description of the publication

The number of patient health data has been estimated to have reached 2314 exabytes by 2020. Traditional data analysis techniques are unsuitable to extract useful information from such a vast quantity of data. Thus, intelligent data analysis methods combining human expertise and computational models...