Editorial Board
A multi-context CNN ensemble for small lesion detection
Topic-informed neural approach for biomedical event extraction
Multi-planar 3D breast segmentation in MRI via deep convolutional neural networks
A fusion framework to extract typical treatment patterns from electronic medical records
Medical knowledge embedding based on recursive neural network for multi-disease diagnosis
Semantic segmentation with DenseNets for carotid artery ultrasound plaque segmentation and CIMT estimation
ADHD classification by dual subspace learning using resting-state functional connectivity
Prognostic factors of Rapid symptoms progression in patients with newly diagnosed parkinson’s disease
Classification of glomerular hypercellularity using convolutional features and support vector machine
Batch Mode Active Learning on the Riemannian Manifold for Automated Scoring of Nuclear Pleomorphism in Breast Cancer
Measuring the effects of confounders in medical supervised classification problems: the Confounding Index (CI)
Mixed-integer optimization approach to learning association rules for unplanned ICU transfer
Random Forest enhancement using improved Artificial Fish Swarm for the medial knee contact force prediction
Automatic computation of mandibular indices in dental panoramic radiographs for early osteoporosis detection
Real-world data medical knowledge graph: construction and applications
An incremental explanation of inference in Bayesian networks for increasing model trustworthiness and supporting clinical decision making
Multi-resolution convolutional networks for chest X-ray radiograph based lung nodule detection
The impact of machine learning on patient care: A systematic review
Quantitative knowledge presentation models of traditional Chinese medicine (TCM): A review
Comprehensive analysis of rule formalisms to represent clinical guidelines: Selection criteria and case study on antibiotic clinical guidelines
Scalogram based prediction model for respiratory disorders using optimized convolutional neural networks
Seven pillars of precision digital health and medicine
A novel method of motor imagery classification using eeg signal
An intelligent learning approach for improving ECG signal classification and arrhythmia analysis
Gait characteristics and clinical relevance of hereditary spinocerebellar ataxia on deep learning
An effective approach for CT lung segmentation using mask region-based convolutional neural networks
Comprehensive electrocardiographic diagnosis based on deep learning
A multicenter random forest model for effective prognosis prediction in collaborative clinical research network
Retraction notice to “Diagnosis Labeling with Disease-Specific Characteristics Mining” [Artif. Intell. Med. 90 (2018) 25–33]