Latest AI and machine learning research in practice management for healthcare professionals.
Machine learning and artificial intelligence have strong roots on principles of neural computation. ...
Efficient extraction of knowledge from biological data requires the development of structured vocabu...
Transposable elements (TEs) play an essential role in the genetic variability of eukaryotic species....
BACKGROUND: Critical limb ischemia (CLI) is a complication of advanced peripheral artery disease (PA...
Previous studies have shown that spike-timing-dependent plasticity (STDP) can be used in spiking neu...
The nature of mental illness remains a conundrum. Traditional disease categories are increasingly su...
BACKGROUND: RNA sequencing technique (RNA-seq) enables scientists to develop novel data-driven metho...
Rising admissions from emergency departments (EDs) to hospitals are a primary concern for many healt...
When encoding visual targets using various lagged versions of a pseudorandom binary sequence of lumi...
This letter proposes a novel predictive coding type neural network model, the predictive multiple sp...
BACKGROUND: In recent years, a rapidly increasing number of RNA transcripts has been generated by th...
All organisms wishing to survive and reproduce must be able to respond adaptively to a complex, chan...
Electrocardiogram (ECG) data analysis is of great significance to the diagnosis of cardiovascular di...
Assessing attachment in adolescents is important due to relations between insecurity and psychopatho...
This work focuses on data mining applied to the clinical documentation domain. Diagnostic terms (DTs...
It is well known that dense coding with local bases (via Least Square coding schemes) can lead to la...
The molecular evolution of genomic DNA across diverse plant and animal phyla involved dynamic regist...
BACKGROUND: Information about renal function is important for drug safety studies using administrati...
OBJECTIVE: This paper builds upon work submitted as part of the 2016 PhysioNet/CinC Challenge, which...
A long-standing and influential hypothesis in neural information processing is that early sensory ne...
Disease and trait-associated variants represent a tiny minority of all known genetic variation, and ...