Latest AI and machine learning research in risk management for healthcare professionals.
Inductive machine learning, and in particular extraction of association rules from data, has been successfully used in multiple application domains, such as market basket analysis, disease prognosis, fraud detection, and protein sequencing. The appeal of rule extraction techniques stems from their ability to handle intricate problems yet produce models based on rules that can be comprehended by hu...
This paper is concerned with the state estimation problem for a class of artificial neural networks (ANNs) without the assumptions of monotonicity or differentiability of the activation functions. The measured outputs are corrupted by stochastic noise signal whose intensity is quantified by a nonlinear function. In order to accommodate the bandwidth limit of the communication channel between the A...
BACKGROUND: Spinal cord injury (SCI) is a severe neurological disorder associated not only with ongoing medical complications but also with a signific...
Normal aging results in alterations in the visual, vestibular and somtaosensory systems, which in turn modify the control of balance. Muscle fatigue m...
Cone-beam CTs (CBCTs) installed on a linear accelerator can be used to provide fast and accurate automatic six degrees of freedom (6DoF) vector displa...
We examined a large body of research study documents (protocols) to identify mentions of drug concepts and established base concepts and roles needed ...
Adequate hydration is recommended for acute ST-elevation myocardial infarction (STEMI) patients undergoing primary percutaneous coronary intervention ...
In a search for new anti-HIV-1 chemotypes, we developed a multistep ligand-based virtual screening (VS) protocol combining machine learning (ML) metho...
Abnormal connectivity patterns have frequently been reported as involved in pathological mental states. However, most studies focus on "static," stati...
BACKGROUND: At present there is no agreement on a common evaluation protocol to assess improvement in stroke patients after robotic therapy.
Position-sensitive positron cameras using silicon pixel detectors have been applied for some preclinical and intraoperative clinical applications. How...
There are multiple reasons for reduced fertility in lactating dairy cows. We hypothesized that one cause of reduced fertility could be the overall siz...
The study objective was to apply machine learning methodologies to identify predictors of remission in a longitudinal sample of 296 adults with a prim...
Many stroke patients are expected to rehabilitate at home, which limits their access to proper rehabilitation equipment, treatment, or assessment by t...
High Throughput Screening (HTS) is a common approach in life sciences to discover chemical matter that modulates a biological target or phenotype. How...
In the present work, the response surface methodology (RSM) based on a central composite rotatable design (CCRD), was used to determine optimum condit...
Molecular docking, despite its undeniable usefulness in computer-aided drug design protocols and the increasing sophistication of tools used in the pr...
Regaining one's ability to walk is of great importance for neurological patients and is a major goal of all rehabilitation programs. Gait training of ...
In recent years, research on vehicle network location service has begun to focus on its intelligence and precision. The accuracy of space-time informa...
Chlorophyll-a (Chl-a) is a direct indicator used to evaluate the ecological state of a waterbody, such as algal blooms that degrade the water quality ...