AIMC Topic: Humans
Showing 64841 to 64850 of 95995 articles
Prediction of Alzheimer's disease dementia with MRI beyond the short-term: Implications for the design of predictive models.
NeuroImage. Clinical
Apr 30, 2019
Magnetic resonance imaging (MRI) volumetric measures have become a standard tool for the detection of incipient Alzheimer's Disease (AD) dementia in mild cognitive impairment (MCI). Focused on providing an earlier and more accurate diagnosis, sophist...
Methodology and validation for identifying gait type using machine learning on IMU data.
Journal of medical engineering & technology
Apr 30, 2019
With the rising popularity of activity tracking, there is a desire to not only count the number of steps a person takes, but also identify the type of step (e.g., walking or running) they are taking. For rehabilitation and athletic training, this dif...
Analysis of Unstructured Text-Based Data Using Machine Learning Techniques: The Case of Pediatric Emergency Department Records in Nicaragua.
Medical care research and review : MCRR
Apr 29, 2019
Free-text information is still widely used in emergency department (ED) records. Machine learning techniques are useful for analyzing narratives, but they have been used mostly for English-language data sets. Considering such a framework, the perform...
Transfer Learning for Brain-Computer Interfaces: A Euclidean Space Data Alignment Approach.
IEEE transactions on bio-medical engineering
Apr 29, 2019
OBJECTIVE: This paper targets a major challenge in developing practical electroencephalogram (EEG)-based brain-computer interfaces (BCIs): how to cope with individual differences so that better learning performance can be obtained for a new subject, ...
Segmenting and classifying activities in robot-assisted surgery with recurrent neural networks.
International journal of computer assisted radiology and surgery
Apr 29, 2019
PURPOSE: Automatically segmenting and classifying surgical activities is an important prerequisite to providing automated, targeted assessment and feedback during surgical training. Prior work has focused almost exclusively on recognizing gestures, o...
Deep learning in ophthalmology: The technical and clinical considerations.
Progress in retinal and eye research
Apr 29, 2019
The advent of computer graphic processing units, improvement in mathematical models and availability of big data has allowed artificial intelligence (AI) using machine learning (ML) and deep learning (DL) techniques to achieve robust performance for ...
Separation of water and fat signal in whole-body gradient echo scans using convolutional neural networks.
Magnetic resonance in medicine
Apr 29, 2019
PURPOSE: To perform and evaluate water-fat signal separation of whole-body gradient echo scans using convolutional neural networks.
A novel deep learning based automatic auscultatory method to measure blood pressure.
International journal of medical informatics
Apr 29, 2019
BACKGROUND: It is clinically important to develop innovative techniques that can accurately measure blood pressures (BP) automatically.
Deep learning model integrating features and novel classifiers fusion for brain tumor segmentation.
Microscopy research and technique
Apr 29, 2019
Automatic and precise segmentation and classification of tumor area in medical images is still a challenging task in medical research. Most of the conventional neural network based models usefully connected or convolutional neural networks to perform...
MLSeq: Machine learning interface for RNA-sequencing data.
Computer methods and programs in biomedicine
Apr 29, 2019
BACKGROUND AND OBJECTIVE: In the last decade, RNA-sequencing technology has become method-of-choice and prefered to microarray technology for gene expression based classification and differential expression analysis since it produces less noisy data....
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