AIMC Topic: Humans
Showing 64591 to 64600 of 95995 articles
Effect of repetitive transcranial magnetic stimulation combined with robot-assisted training on wrist muscle activation post-stroke.
Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology
May 20, 2019
OBJECTIVE: To compare the effects of active assisted wrist extension training, using a robotic exoskeleton (RW), with simultaneous 5 Hz (rTMS + RW) or Sham rTMS (Sham rTMS + RW) over the ipsilesional extensor carpi radialis motor cortical representat...
Dry eye is matched by increased intrasubject variability in tear osmolarity as confirmed by machine learning approach.
Archivos de la Sociedad Espanola de Oftalmologia
May 20, 2019
OBJECTIVE: Because of high variability, tear film osmolarity measures have been questioned in dry eye assessment. Understanding the origin of such variability would aid data interpretation. This study aims to evaluate osmolarity variability in a clin...
Prediction of antiepileptic drug treatment outcomes of patients with newly diagnosed epilepsy by machine learning.
Epilepsy & behavior : E&B
May 20, 2019
OBJECTIVE: The objective of this study was to build a supervised machine learning-based classifier, which can accurately predict the outcomes of antiepileptic drug (AED) treatment of patients with newly diagnosed epilepsy.
Type-2 Fuzzy PCA Approach in Extracting Salient Features for Molecular Cancer Diagnostics and Prognostics.
IEEE transactions on nanobioscience
May 20, 2019
Machine learning is becoming a powerful tool for cancer diagnosis and prognosis based on classification using high dimensional molecular data. However, extracting classification features from high-dimensional datasets remains a challenging problem. P...
End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography.
Nature medicine
May 20, 2019
With an estimated 160,000 deaths in 2018, lung cancer is the most common cause of cancer death in the United States. Lung cancer screening using low-dose computed tomography has been shown to reduce mortality by 20-43% and is now included in US scree...
Classification of Polar Maps from Cardiac Perfusion Imaging with Graph-Convolutional Neural Networks.
Scientific reports
May 20, 2019
Myocardial perfusion imaging is a non-invasive imaging technique commonly used for the diagnosis of Coronary Artery Disease and is based on the injection of radiopharmaceutical tracers into the blood stream. The patient's heart is imaged while at res...
Weekly ILI patient ratio change prediction using news articles with support vector machine.
BMC bioinformatics
May 20, 2019
BACKGROUND: Influenza continues to pose a serious threat to human health worldwide. For this reason, detecting influenza infection patterns is critical. However, as the epidemic spread of influenza occurs sporadically and rapidly, it is not easy to e...
Reducing inter-observer variability and interaction time of MR liver volumetry by combining automatic CNN-based liver segmentation and manual corrections.
PloS one
May 20, 2019
PURPOSE: To compare manual corrections of liver masks produced by a fully automatic segmentation method based on convolutional neural networks (CNN) with manual routine segmentations in MR images in terms of inter-observer variability and interaction...
Mixed convolutional and long short-term memory network for the detection of lethal ventricular arrhythmia.
PloS one
May 20, 2019
Early defibrillation by an automated external defibrillator (AED) is key for the survival of out-of-hospital cardiac arrest (OHCA) patients. ECG feature extraction and machine learning have been successfully used to detect ventricular fibrillation (V...
Support Vector Machine
Out-of-Hospital Cardiac Arrest
Algorithms
Signal Processing, Computer-Assisted
Databases, Factual
Electrocardiography, Ambulatory
Humans
Electric Countershock
Diagnosis, Computer-Assisted
Ventricular Fibrillation
Deep Learning
Neural Networks, Computer
Defibrillators
Electrocardiography
Predicting nationwide obesity from food sales using machine learning.
Health informatics journal
May 19, 2019
The obesity epidemic progresses everywhere across the globe, and implementing frequent nationwide surveys to measure the percentage of obese population is costly. Conversely, country-level food sales information can be accessed inexpensively through ...
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