IEEE Journal of Translational Engineering in Health and Medicine

Articles, Published Articles
A 12-Lead ECG-Based System With Physiological Parameters and Machine Learning to Identify Right Ventricular Hypertrophy in Young Adults
The presence of right ventricular hypertrophy (RVH) accounts for approximately 5-10% in young adults. The sensitivity estimated by commonly used 12-lead electrocardiographic (ECG) criteria for identifying the presence of RVH is under 20% in the general population. The aim of... Read more
Articles, Published Articles
The identification of Alzheimer’s disease using functional connectivity between activity voxels in resting-state fMRI data
Alzheimer’s disease (AD) is a common neurodegenerative disease occurring in the elderly population. The effective and accurate classification of AD symptoms by using functional magnetic resonance imaging (fMRI) has a great significance for the clinical diagnosis and prediction of AD... Read more
Articles, Published Articles
Multiple Linear Discriminant Models for Extracting Salient Characteristic Patterns in Capsule Endoscopy Images for Multi-Disease Detection
Background: Computer-aided disease detection schemes from wireless capsule endoscopy (WCE) videos have received great attention by the researchers for reducing physicians’ burden due to the time-consuming and risky manual review process. While single disease classification schemes are greatly dealt by... Read more
Featured Articles
Microaneurysm Detection Using Principal Component Analysis and Machine Learning Methods
Diabetic retinopathy (DR) is an eye abnormality caused by long-term diabetes and it is the most common cause of blindness before the age of 50. Microaneurysms (MAs), resulting from leakage from retinal blood vessels, are early indicators of DR. In... Read more
Articles, Published Articles
A Multi-Classifier System for Automatic Mitosis Detection in Breast Histopathology Images using Deep Belief Networks
Mitotic count is an important diagnostic factor in breast cancer grading and prognosis. Detection of mitosis in breast histopathology images is very challenging mainly due to diffused intensities along object boundary and shape variation in different stages of mitosis. This... Read more
Featured Articles
TargetM6A: Identifying N6-Methyladenosine Sites From RNA Sequences via Position-Specific Nucleotide Propensities and a Support Vector Machine
As one of the most ubiquitous post-transcriptional modifications of RNA, N6-methyladenosine ( m 6 A  ) plays an essential role in many vital biological processes. The identification of m 6 A  sites in RNAs is significantly important for both basic biomedical research and practical... Read more
Featured Articles
Identification of DNA-Binding Proteins by Combining Auto-Cross Covariance Transformation and Ensemble Learning
DNA-binding proteins play a pivotal role in various intra- and extra-cellular activities ranging from DNA replication to gene expression control. With the rapid development of next generation of sequencing technique, the number of protein sequences is unprecedentedly increasing. Thus it... Read more