Editorial Board
Efficient treatment of outliers and class imbalance for diabetes prediction
A recurrent neural network approach to predicting hemoglobin trajectories in patients with End-Stage Renal Disease
Multimodal data analysis of epileptic EEG and rs-fMRI via deep learning and edge computing
Optimisation and control of the supply of blood bags in hemotherapic centres via Markov decision process with discounted arrival rate
Feature selection based multivariate time series forecasting: An application to antibiotic resistance outbreaks prediction
An improved multi-swarm particle swarm optimizer for optimizing the electric field distribution of multichannel transcranial magnetic stimulation
Wearable sensor-based evaluation of psychosocial stress in patients with metabolic syndrome
Early detection of sepsis utilizing deep learning on electronic health record event sequences
Detecting potential signals of adverse drug events from prescription data
Characterizing the critical features when personalizing antihypertensive drugs using spectrum analysis and machine learning methods
Offline identification of surgical deviations in laparoscopic rectopexy
Modeling and processing up-to-dateness of patient information in probabilistic therapy decision support
A novel deep mining model for effective knowledge discovery from omics data
A neutrosophic-entropy based adaptive thresholding segmentation algorithm: A special application in MR images of Parkinson's disease
Reinforcement learning application in diabetes blood glucose control: A systematic review
Automated machine learning: Review of the state-of-the-art and opportunities for healthcare
Computerized decision support and machine learning applications for the prevention and treatment of childhood obesity: A systematic review of the literature