Humans
Showing 68501 to 68510 of 95995 articles
The Relationship between Robot's Nonverbal Behaviour and Human's Likability Based on Human's Personality.
Scientific reports
May 30, 2018
At current state, although robotics technology has been immensely developed, the uncertainty to completely engage in human-robot interaction is still growing among people. Many current studies then started to concern about human factors that might in...
Artificial Intelligence for Diabetes Management and Decision Support: Literature Review.
Journal of medical Internet research
May 30, 2018
BACKGROUND: Artificial intelligence methods in combination with the latest technologies, including medical devices, mobile computing, and sensor technologies, have the potential to enable the creation and delivery of better management services to dea...
Quantitative nuclear histomorphometry predicts oncotype DX risk categories for early stage ER+ breast cancer.
BMC cancer
May 30, 2018
BACKGROUND: Gene-expression companion diagnostic tests, such as the Oncotype DX test, assess the risk of early stage Estrogen receptor (ER) positive (+) breast cancers, and guide clinicians in the decision of whether or not to use chemotherapy. Howev...
Cell Nucleus
Receptors, Estrogen
Breast
Models, Biological
Supervised Machine Learning
ROC Curve
Image Processing, Computer-Assisted
Staining and Labeling
Neoplasm Staging
Genetic Testing
Young Adult
Predictive Value of Tests
Adult
Humans
Principal Component Analysis
Prognosis
Female
Breast Neoplasms
Risk Factors
Middle Aged
Aged
A System for Automated Determination of Perioperative Patient Acuity.
Journal of medical systems
May 30, 2018
The widely used American Society of Anesthesiologists Physical Status (ASA PS) classification is subjective, requires manual clinician review to score, and has limited granularity. Our objective was to develop a system that automatically generates an...
Pattern Classification for Gastrointestinal Stromal Tumors by Integration of Radiomics and Deep Convolutional Features.
IEEE journal of biomedical and health informatics
May 29, 2018
Predicting malignant potential is one of the most critical components of a computer-aided diagnosis system for gastrointestinal stromal tumors (GISTs). These tumors have been studied only on the basis of subjective computed tomography findings. Among...
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Deep Learning for Drug Discovery and Cancer Research: Automated Analysis of Vascularization Images.
IEEE/ACM transactions on computational biology and bioinformatics
May 29, 2018
Likely drug candidates which are identified in traditional pre-clinical drug screens often fail in patient trials, increasing the societal burden of drug discovery. A major contributing factor to this phenomenon is the failure of traditional in vitro...
Evolutionary image simplification for lung nodule classification with convolutional neural networks.
International journal of computer assisted radiology and surgery
May 29, 2018
PURPOSE: Understanding decisions of deep learning techniques is important. Especially in the medical field, the reasons for a decision in a classification task are as crucial as the pure classification results. In this article, we propose a new appro...
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Neuronal network-based mathematical modeling of perceived verticality in acute unilateral vestibular lesions: from nerve to thalamus and cortex.
Journal of neurology
May 29, 2018
Acute unilateral lesions of vestibular graviceptive pathways from the otolith organs and semicircular canals via vestibular nuclei and the thalamus to the parieto-insular vestibular cortex regularly cause deviations of perceived verticality in the fr...
Using machine-learning approaches to predict non-participation in a nationwide general health check-up scheme.
Computer methods and programs in biomedicine
May 29, 2018
BACKGROUND: In the time since the launch of a nationwide general health check-up and instruction program in Japan in 2008, interest in the formulation of an effective and efficient strategy to improve the participation rate has been growing. The aim ...
Development of an efficient algorithm for the detection of macular edema from optical coherence tomography images.
International journal of computer assisted radiology and surgery
May 29, 2018
PURPOSE: Detection of eye diseases and their treatment is a key to reduce blindness, which impacts human daily needs like driving, reading, writing, etc. Several methods based on image processing have been used to monitor the presence of macular dise...
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