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The impact of robot-mediated adaptive I-TRAVLE training on impaired upper limb function in chronic stroke and multiple sclerosis.

Disability and rehabilitation. Assistive technology
PURPOSE: The current study aimed to investigate proof-of-concept efficacy of an individualized, robot-mediated training regime for people with MS (pwMS) and stroke patients.

Exploring temporal information in neonatal seizures using a dynamic time warping based SVM kernel.

Computers in biology and medicine
Seizure events in newborns change in frequency, morphology, and propagation. This contextual information is explored at the classifier level in the proposed patient-independent neonatal seizure detection system. The system is based on the combination...

Deep ensemble learning of sparse regression models for brain disease diagnosis.

Medical image analysis
Recent studies on brain imaging analysis witnessed the core roles of machine learning techniques in computer-assisted intervention for brain disease diagnosis. Of various machine-learning techniques, sparse regression models have proved their effecti...

Predicting prostate tumour location from multiparametric MRI using Gaussian kernel support vector machines: a preliminary study.

Australasian physical & engineering sciences in medicine
The performance of a support vector machine (SVM) algorithm was investigated to predict prostate tumour location using multi-parametric MRI (mpMRI) data. The purpose was to obtain information of prostate tumour location for the implementation of bio-...

Support Vector Machine Classification of Drunk Driving Behaviour.

International journal of environmental research and public health
Alcohol is the root cause of numerous traffic accidents due to its pharmacological action on the human central nervous system. This study conducted a detection process to distinguish drunk driving from normal driving under simulated driving condition...

The use of multi-criteria decision making models in evaluating anesthesia method options in circumcision surgery.

BMC medical informatics and decision making
BACKGROUND: Determining the most suitable anesthesia method for circumcision surgery plays a fundamental role in pediatric surgery. This study is aimed to present pediatric surgeons' perspective on the relative importance of the criteria for selectin...

Disease-free survival assessment by artificial neural networks for hepatocellular carcinoma patients after radiofrequency ablation.

Journal of the Formosan Medical Association = Taiwan yi zhi
BACKGROUND/PURPOSE: Radiofrequency ablation (RFA) provides an effective treatment for patients who exhibit early hepatocellular carcinoma (HCC) stages or are waiting for liver transplantation. It is important to assess patients after RFA. The goal of...