Special Issue on Computational Intelligence for Healthcare

The number of patient health data has been estimated to have reached 2314 exabytes by 2020 [...]

[1]  Huiquan Wang,et al.  Intelligent Fog-Enabled Smart Healthcare System for Wearable Physiological Parameter Detection , 2020, Electronics.

[2]  Ahmad Taher Azar,et al.  Leukemia Image Segmentation Using a Hybrid Histogram-Based Soft Covering Rough K-Means Clustering Algorithm , 2020 .

[3]  Xiaodong Chen,et al.  Searching for Premature Ventricular Contraction from Electrocardiogram by Using One-Dimensional Convolutional Neural Network , 2020, Electronics.

[4]  Giuseppe Coviello,et al.  A Synchronized Multi-Unit Wireless Platform for Long-Term Activity Monitoring , 2020, Electronics.

[5]  E. Lella,et al.  An Ensemble Learning Approach Based on Diffusion Tensor Imaging Measures for Alzheimer’s Disease Classification , 2021, Electronics.

[6]  Danilo Caivano,et al.  CRISPRLearner: A Deep Learning-Based System to Predict CRISPR/Cas9 sgRNA On-Target Cleavage Efficiency , 2019, Electronics.

[7]  Sandro Fioretti,et al.  A Deep Learning Approach to EMG-Based Classification of Gait Phases during Level Ground Walking , 2019, Electronics.

[8]  Giovanna Castellano,et al.  Explaining Ovarian Cancer Gene Expression Profiles with Fuzzy Rules and Genetic Algorithms , 2021, Electronics.

[9]  Theo G. Swart,et al.  Integrating Enhanced Sparse Autoencoder-Based Artificial Neural Network Technique and Softmax Regression for Medical Diagnosis , 2020, Electronics.

[10]  Darius Plonis,et al.  Two-Stage Monitoring of Patients in Intensive Care Unit for Sepsis Prediction Using Non-Overfitted Machine Learning Models , 2020, Electronics.

[11]  Durai Raj Vincent,et al.  Realizing an Integrated Multistage Support Vector Machine Model for Augmented Recognition of Unipolar Depression , 2020, Electronics.

[12]  N. Veeranjaneyulu,et al.  Blended Multi-Modal Deep ConvNet Features for Diabetic Retinopathy Severity Prediction , 2020, Electronics.