Humans
Showing 69131 to 69140 of 95995 articles
Optimization of classification and regression analysis of four monoclonal antibodies from Raman spectra using collaborative machine learning approach.
Talanta
Mar 8, 2018
The use of monoclonal antibodies (mAbs) constitutes one of the most important strategies to treat patients suffering from cancers such as hematological malignancies and solid tumors. These antibodies are prescribed by the physician and prepared by ho...
(1)
Phylogenetic convolutional neural networks in metagenomics.
BMC bioinformatics
Mar 8, 2018
BACKGROUND: Convolutional Neural Networks can be effectively used only when data are endowed with an intrinsic concept of neighbourhood in the input space, as is the case of pixels in images. We introduce here Ph-CNN, a novel deep learning architectu...
Training for mobility with exoskeleton robot in spinal cord injury patients: a pilot study.
European journal of physical and rehabilitation medicine
Mar 7, 2018
BACKGROUND: Wearable robots are people-oriented robots designed to be worn all day, thus helping in the daily activities. They can assist in walking, running, jumping higher or even lifting objects too heavy in normal conditions.
(1)
Mobile technology and telemedicine for shoulder range of motion: validation of a motion-based machine-learning software development kit.
Journal of shoulder and elbow surgery
Mar 7, 2018
BACKGROUND: Mobile technology offers the prospect of delivering high-value care with increased patient access and reduced costs. Advances in mobile health (mHealth) and telemedicine have been inhibited by the lack of interconnectivity between devices...
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Artificial neural network retrained to detect myocardial ischemia using a Japanese multicenter database.
Annals of nuclear medicine
Mar 7, 2018
PURPOSE: An artificial neural network (ANN) has been applied to detect myocardial perfusion defects and ischemia. The present study compares the diagnostic accuracy of a more recent ANN version (1.1) with the initial version 1.0.
Databases as Topic
Endovascular Procedures
Myocardial Ischemia
Tomography, Emission-Computed, Single-Photon
Radiopharmaceuticals
Japan
Quality Improvement
Image Interpretation, Computer-Assisted
Myocardial Perfusion Imaging
Organotechnetium Compounds
Female
Aged
Male
ROC Curve
Area Under Curve
Coronary Angiography
Heart
Cardiac Surgical Procedures
Humans
Neural Networks, Computer
Artificial Intelligence
Postoperative seizure outcome-guided machine learning for interictal electrocorticography in neocortical epilepsy.
Journal of neurophysiology
Mar 7, 2018
The objective of this study was to introduce a new machine learning guided by outcome of resective epilepsy surgery defined as the presence/absence of seizures to improve data mining for interictal pathological activities in neocortical epilepsy. Ele...
Urinary Polyamine Biomarker Panels with Machine-Learning Differentiated Colorectal Cancers, Benign Disease, and Healthy Controls.
International journal of molecular sciences
Mar 7, 2018
Colorectal cancer (CRC) is one of the most daunting diseases due to its increasing worldwide prevalence, which requires imperative development of minimally or non-invasive screening tests. Urinary polyamines have been reported as potential markers to...
Machine Learning-based Individual Assessment of Cortical Atrophy Pattern in Alzheimer's Disease Spectrum: Development of the Classifier and Longitudinal Evaluation.
Scientific reports
Mar 7, 2018
To develop a new method for measuring Alzheimer's disease (AD)-specific similarity of cortical atrophy patterns at the individual-level, we employed an individual-level machine learning algorithm. A total of 869 cognitively normal (CN) individuals an...
Biomechanical mechanisms underlying exosuit-induced improvements in walking economy after stroke.
The Journal of experimental biology
Mar 7, 2018
Stroke-induced hemiparetic gait is characteristically asymmetric and metabolically expensive. Weakness and impaired control of the paretic ankle contribute to reduced forward propulsion and ground clearance - walking subtasks critical for safe and ef...
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Histopathological Breast Cancer Image Classification by Deep Neural Network Techniques Guided by Local Clustering.
BioMed research international
Mar 7, 2018
Breast Cancer is a serious threat and one of the largest causes of death of women throughout the world. The identification of cancer largely depends on digital biomedical photography analysis such as histopathological images by doctors and physicians...
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