background: myocardial infarction (mi) occurs due to heart muscle death that costs like human life, which is higher than the treatment costs. this study aimed to present an mi prediction model using classification data mining methods, which consider the imbalance nature of the problem. methods: we enrolled 455 healthy and 295 myocardial infarction cases of visitors to shahid madani specialized ...

As the classic feature selection algorithm, Relief algorithm has advantages of simple computation and high efficiency, but itself is limited to only dealing with binary classification problems, comprehensive distinguishing ability subsets composed former K features selected by often redundant, as cannot select ideal subset. When calculating correlation redundancy between characteristics mutual ...

OBJECTIVE To estimate the differences in glenohumeral contact forces and shoulder muscle forces between able-bodied subjects and subjects with paraplegia and tetraplegia during wheelchair-related activities of daily living (ADLs). DESIGN Kinematics and external forces were measured during wheelchair ADLs (level propulsion, weight-relief lifting, reaching) and processed by using an inverse dyn...

This study was undertaken to investigate the contribution of a weight-relieving system on the gait of patients with severe locomotor disabilities. Temporal parameters of gait and subjective evaluations of the effect of the system were studied in 24 patients and 6 healthy subjects. Partial weight relief was accomplished through a pneumatic system mounted in the ceiling over a conductive walkway ...

The RELIEF algorithm is a popular approach for feature weight estimation. Many extensions of the RELIEF algorithm are developed. However, an essential defect in the original RELIEF algorithm has been ignored for years. Because of the randomicity and the uncertainty of the instances used for calculating the feature weight vector in the RELEIF algorithm, the results will fluctuate with the instan...