AIMC Topic: Humans
Showing 65891 to 65900 of 95995 articles
Machine Learning in Nuclear Medicine: Part 1-Introduction.
Journal of nuclear medicine : official publication, Society of Nuclear Medicine
Feb 7, 2019
This article, the first in a 2-part series, provides an introduction to machine learning (ML) in a nuclear medicine context. This part addresses the history of ML and describes common algorithms, with illustrations of when they can be helpful in nucl...
Machine learning for MEG during speech tasks.
Scientific reports
Feb 7, 2019
We consider whether a deep neural network trained with raw MEG data can be used to predict the age of children performing a verb-generation task, a monosyllable speech-elicitation task, and a multi-syllabic speech-elicitation task. Furthermore, we ar...
Objective risk stratification of prostate cancer using machine learning and radiomics applied to multiparametric magnetic resonance images.
Scientific reports
Feb 7, 2019
Multiparametric magnetic resonance imaging (mpMRI) has become increasingly important for the clinical assessment of prostate cancer (PCa), but its interpretation is generally variable due to its relatively subjective nature. Radiomics and classificat...
An Evaluation of the Effect of Vision on Standing Stability in the Early Stage of Parkinson's Disease.
European neurology
Feb 7, 2019
BACKGROUND: Postural instability is a common disorder in Parkinson's disease (PD). The aim of this study was to evaluate stance stability of the subjects at the early stage of PD with both linear and nonlinear approaches. Moreover, this study aimed t...
Predicting centre of mass horizontal speed in low to severe swimming intensities with linear and non-linear models.
Journal of sports sciences
Feb 6, 2019
We aimed to compare multilayer perceptron (MLP) neural networks, radial basis function neural networks (RBF) and linear models (LM) accuracy to predict the centre of mass (CM) horizontal speed at low-moderate, heavy and severe swimming intensities us...
An integrated molecular diagnostic report for heart transplant biopsies using an ensemble of diagnostic algorithms.
The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation
Feb 6, 2019
BACKGROUND: We previously reported a microarray-based diagnostic system for heart transplant endomyocardial biopsies (EMBs), using either 3-archetype (3AA) or 4-archetype (4AA) unsupervised algorithms to estimate rejection. In the present study we ex...
Predictive Abilities of Machine Learning Techniques May Be Limited by Dataset Characteristics: Insights From the UNOS Database.
Journal of cardiac failure
Feb 6, 2019
BACKGROUND: Traditional statistical approaches to prediction of outcomes have drawbacks when applied to large clinical databases. It is hypothesized that machine learning methodologies might overcome these limitations by considering higher-dimensiona...
Continual lifelong learning with neural networks: A review.
Neural networks : the official journal of the International Neural Network Society
Feb 6, 2019
Humans and animals have the ability to continually acquire, fine-tune, and transfer knowledge and skills throughout their lifespan. This ability, referred to as lifelong learning, is mediated by a rich set of neurocognitive mechanisms that together c...
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