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Showing 70431 to 70440 of 95995 articles
Machine learning and melanoma: The future of screening.
Journal of the American Academy of Dermatology
Oct 6, 2017
(2)
Nonlinearity-aware based dimensionality reduction and over-sampling for AD/MCI classification from MRI measures.
Computers in biology and medicine
Oct 6, 2017
Alzheimer's disease (AD) has been not only a substantial financial burden to the health care system but also an emotional burden to patients and their families. Making accurate diagnosis of AD based on brain magnetic resonance imaging (MRI) is becomi...
(3)
Compensation for Magnetic Disturbances in Motion Estimation to Provide Feedback to Wearable Robotic Systems.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Oct 6, 2017
The direction of the Earth's magnetic field is used as a reference vector to determine the heading in orientation estimation with wearable sensors. However, the magnetic field strength is weak and can be easily disturbed in the vicinity of ferromagne...
(2)
Risk prediction model for in-hospital mortality in women with ST-elevation myocardial infarction: A machine learning approach.
Heart & lung : the journal of critical care
Oct 6, 2017
BACKGROUND: Studies had shown that mortality due to ST-elevation myocardial infarction (STEMI) is higher in women compared with men. The purpose of this study is to develop and validate prediction models for all-cause in-hospital mortality in women a...
(1)
A deep convolutional neural network-based automatic delineation strategy for multiple brain metastases stereotactic radiosurgery.
PloS one
Oct 6, 2017
Accurate and automatic brain metastases target delineation is a key step for efficient and effective stereotactic radiosurgery (SRS) treatment planning. In this work, we developed a deep learning convolutional neural network (CNN) algorithm for segme...
Deep Learning-Based Multi-Omics Integration Robustly Predicts Survival in Liver Cancer.
Clinical cancer research : an official journal of the American Association for Cancer Research
Oct 5, 2017
Identifying robust survival subgroups of hepatocellular carcinoma (HCC) will significantly improve patient care. Currently, endeavor of integrating multi-omics data to explicitly predict HCC survival from multiple patient cohorts is lacking. To fill ...
Radiomics in Brain Tumor: Image Assessment, Quantitative Feature Descriptors, and Machine-Learning Approaches.
AJNR. American journal of neuroradiology
Oct 5, 2017
Radiomics describes a broad set of computational methods that extract quantitative features from radiographic images. The resulting features can be used to inform imaging diagnosis, prognosis, and therapy response in oncology. However, major challeng...
Early hospital mortality prediction of intensive care unit patients using an ensemble learning approach.
International journal of medical informatics
Oct 5, 2017
BACKGROUND: Mortality prediction of hospitalized patients is an important problem. Over the past few decades, several severity scoring systems and machine learning mortality prediction models have been developed for predicting hospital mortality. By ...
Alzheimer's disease and driving: review of the literature and consensus guideline from Belgian dementia experts and the Belgian road safety institute endorsed by the Belgian Medical Association.
Acta neurologica Belgica
Oct 5, 2017
Alzheimer's disease (AD) is a highly prevalent condition and its prevalence is expected to further increase due to the aging of the general population. It is obvious that the diagnosis of AD has implications for driving. Finally, driving discussions ...
The effectiveness of robotic training depends on motor task characteristics.
Experimental brain research
Oct 5, 2017
Previous research suggests that the effectiveness of robotic training depends on the motor task to be learned. However, it is still an open question which specific task's characteristics influence the efficacy of error-modulating training strategies....
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