Latest AI and machine learning research in adhd/add for healthcare professionals.
Measuring the similarity between pairs of biological entities is important in molecular biology. The introduction of Gene Ontology (GO) provides us with a promising approach to quantifying the semantic similarity between two genes or gene products. This kind of similarity measure is closely associated with the GO terms annotated to biological entities under consideration and the structure of the G...
The identification of individual-cancer-related genes typically is an imbalanced classification issue. The number of known cancer-related genes is far less than the number of all unknown genes, which makes it very hard to detect novel predictions from such imbalanced training samples. A regular machine learning method can either only detect genes related to all cancers or add clinical knowledge to...
OBJECTIVES: Data extraction from original study reports is a time-consuming, error-prone process in systematic review development. Information extract...
BACKGROUND: Authoring bio-ontologies is a task that has traditionally been undertaken by skilled experts trained in understanding complex languages su...
Recombination is crucial for biological evolution, which provides many new combinations of genetic diversity. Accurate identification of recombination...
BACKGROUND: Acute Kidney Injury (AKI) occurs in at least 5Â % of hospitalized patients and can result in 40-70Â % morbidity and mortality. Even followin...
Neuroimaging-based single subject prediction of brain disorders has gained increasing attention in recent years. Using a variety of neuroimaging modal...
The reinforcing and motivational aspects of food are tied to the release of the dopamine in the mesolimbic system (ML). Free fatty acids from triglyce...
Recent years have shown the critical importance of inter-regional neural network connectivity in supporting healthy brain function. Such connectivity ...
Although autism spectrum disorder (ASD) and attention deficit hyperactivity disorder (ADHD) continue to rise in prevalence, together affecting >10% of...
This paper presents an empirical study of a formative neural network-based assessment approach by using mobile technology to provide pharmacy students...
Several endpoints associated with cellular responses to DNA damage as well as overt cytotoxicity were multiplexed into a miniaturized, "add and read" ...
In this paper, we carry on research on a facial expression recognition method, which is based on modified sparse representation recognition (MSRR) met...
MOTIVATION: Gene ontology (GO) is a widely used resource to describe the attributes for gene products. However, automatic GO maintenance remains to be...
Active learning is the problem of interactively constructing the training set used in classification in order to reduce its size. It would ideally suc...
Human grasping and manipulation control critically depends on tactile feedback. Without this feedback, the ability for fine control of a prosthesis is...
Motivated by neuroscience discoveries during the last few years, many studies consider pulse-coupled neural networks with spike-timing as an essential...
BACKGROUND: The BioNLP Gene Regulation Task has attracted a diverse collection of submissions showcasing state-of-the-art systems. However, a principa...
The Reactome project builds, maintains, and publishes a knowledgebase of biological pathways. The information in the knowledgebase is gathered from th...
An ontology-driven safe food consumption mobile system is considered. Over 3,000 compounds are being added to processed food, with numerous effects on...