Humans
Showing 68341 to 68350 of 95995 articles
A distance measure between intuitionistic fuzzy sets and its application in medical diagnosis.
Artificial intelligence in medicine
Jun 19, 2018
The intuitionistic fuzzy set, as a generation of fuzzy set, can express and process uncertainty much better. Distance measures between intuitionistic fuzzy sets are used to indicate the difference degree between the information carried by intuitionis...
Detection of genetic cardiac diseases by Ca transient profiles using machine learning methods.
Scientific reports
Jun 19, 2018
Human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) have revolutionized cardiovascular research. Abnormalities in Ca transients have been evident in many cardiac disease models. We have shown earlier that, by exploiting computation...
A memristive plasticity model of voltage-based STDP suitable for recurrent bidirectional neural networks in the hippocampus.
Scientific reports
Jun 19, 2018
Memristive systems have gained considerable attention in the field of neuromorphic engineering, because they allow the emulation of synaptic functionality in solid state nano-physical systems. In this study, we show that memristive behavior provides ...
Comparison of Machine-Learning Classification Models for Glaucoma Management.
Journal of healthcare engineering
Jun 19, 2018
This study develops an objective machine-learning classification model for classifying glaucomatous optic discs and reveals the classificatory criteria to assist in clinical glaucoma management. In this study, 163 glaucoma eyes were labelled with fou...
Forensic Odontology: Automatic Identification of Persons Comparing Antemortem and Postmortem Panoramic Radiographs Using Computer Vision.
RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin
Jun 18, 2018
PURPOSE: In forensic odontology the comparison between antemortem and postmortem panoramic radiographs (PRs) is a reliable method for person identification. The purpose of this study was to improve and automate identification of unknown people by co...
Deep Learning Localizes and Identifies Polyps in Real Time With 96% Accuracy in Screening Colonoscopy.
Gastroenterology
Jun 18, 2018
BACKGROUND & AIMS: The benefit of colonoscopy for colorectal cancer prevention depends on the adenoma detection rate (ADR). The ADR should reflect the adenoma prevalence rate, which is estimated to be higher than 50% in the screening-age population. ...
Observer Variation
Adenomatous Polyps
Feasibility Studies
Colonic Polyps
Video Recording
Humans
Image Interpretation, Computer-Assisted
Early Detection of Cancer
Predictive Value of Tests
Colorectal Neoplasms
Neural Networks, Computer
Area Under Curve
Colonoscopy
Machine Learning
Diagnosis, Computer-Assisted
Prognosis
ROC Curve
Reproducibility of Results
Comparison of Models for Predicting Quality of Life After Surgical Resection of Hepatocellular Carcinoma: a Prospective Study.
Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract
Jun 18, 2018
BACKGROUND: The essential issue of internal validity has not been adequately addressed in prediction models such as artificial neural network (ANN), support vector machine (SVM), Gaussian process regression (GPR), and multiple linear regression (MLR)...
A fully integrated computer-aided diagnosis system for digital X-ray mammograms via deep learning detection, segmentation, and classification.
International journal of medical informatics
Jun 18, 2018
A computer-aided diagnosis (CAD) system requires detection, segmentation, and classification in one framework to assist radiologists efficiently in an accurate diagnosis. In this paper, a completely integrated CAD system is proposed to screen digital...
Detection of Longitudinal Visual Field Progression in Glaucoma Using Machine Learning.
American journal of ophthalmology
Jun 18, 2018
PURPOSE: Global indices of standard automated perimerty are insensitive to localized losses, while point-wise indices are sensitive but highly variable. Region-wise indices sit in between. This study introduces a machine learning-based index for glau...
Factors influencing unsafe behaviors: A supervised learning approach.
Accident; analysis and prevention
Jun 18, 2018
Despite its potential, the use of machine learning in safety studies had been limited. Considering machine learning's advantage in predictive accuracy, this study used a supervised learning approach to evaluate the relative importance of different co...
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