Humans

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[Application of a deep learning for occupational health and safety recognition: a pilot study in a logistics industry].

Sangyo eiseigaku zasshi = Journal of occupational health Aug 28, 2018
Industry Deep Learning Pilot Projects Artificial Intelligence Safety Occupational Health Accidents, Occupational Humans
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Identifying people at risk of developing type 2 diabetes: A comparison of predictive analytics techniques and predictor variables.

International journal of medical informatics Aug 28, 2018
BACKGROUND: The present study aims to identify the patients at risk of type 2 diabetes (T2D). There is a body of literature that uses machine learning classification algorithms to predict development of T2D among patients. The current study compares ...
Male Mass Screening Middle Aged Humans Support Vector Machine Disease Progression Diabetes Mellitus, Type 2 Predictive Value of Tests Female Logistic Models Machine Learning Risk Factors Algorithms Neural Networks, Computer
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Disease Specific Ontology of Adverse Events: Ontology extension and adaptation for Chronic Kidney Disease.

Computers in biology and medicine Aug 28, 2018
BACKGROUND: Adverse Event (AE) ontology can be used to support interoperability and computer-assisted reasoning of AEs. Despite significant progress in developing biomedical ontologies, they are facing the obstacle of adoption partly because those on...
Models, Biological Biological Ontologies Female Male Renal Insufficiency, Chronic Humans Artificial Intelligence
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Comparing Multiple Machine Learning Algorithms and Metrics for Estrogen Receptor Binding Prediction.

Molecular pharmaceutics Aug 28, 2018
Many chemicals that disrupt endocrine function have been linked to a variety of adverse biological outcomes. However, screening for endocrine disruption using in vitro or in vivo approaches is costly and time-consuming. Computational methods, e.g., q...
Humans Machine Learning Software Support Vector Machine Bayes Theorem Algorithms Animals Receptors, Estrogen Protein Binding
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Toward Fast Neural Computing using All-Photonic Phase Change Spiking Neurons.

Scientific reports Aug 28, 2018
The rapid growth of brain-inspired computing coupled with the inefficiencies in the CMOS implementations of neuromrphic systems has led to intense exploration of efficient hardware implementations of the functional units of the brain, namely, neurons...
Nerve Net Photons Neural Networks, Computer Models, Neurological Neurons Humans
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Computational characterization and identification of human polycystic ovary syndrome genes.

Scientific reports Aug 28, 2018
Human polycystic ovary syndrome (PCOS) is a highly heritable disease regulated by genetic and environmental factors. Identifying PCOS genes is time consuming and costly in wet-lab. Developing an algorithm to predict PCOS candidates will be helpful. I...
Databases, Nucleic Acid Gene Regulatory Networks Polycystic Ovary Syndrome Machine Learning Female Humans
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A Study of Diagnostic Accuracy Using a Chemical Sensor Array and a Machine Learning Technique to Detect Lung Cancer.

Sensors (Basel, Switzerland) Aug 28, 2018
Lung cancer is the leading cause of cancer death around the world, and lung cancer screening remains challenging. This study aimed to develop a breath test for the detection of lung cancer using a chemical sensor array and a machine learning techniqu...
Humans Machine Learning Reproducibility of Results Aged Male Prospective Studies Female Breath Tests Lung Neoplasms Middle Aged Support Vector Machine Case-Control Studies Early Detection of Cancer
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Risk Evaluation Model of Highway Tunnel Portal Construction Based on BP Fuzzy Neural Network.

Computational intelligence and neuroscience Aug 28, 2018
Risk assessment for tunnel portals in the construction stage has been widely recognized as one of the most critical phases in tunnel construction as it easily causes accident than the overall length of a tunnel. However, the risk in tunnel portal con...
Motor Vehicles Computer Simulation Risk Assessment Humans Construction Industry Neural Networks, Computer
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Controlling Complexity of Cerebral Cortex Simulations-I: CxSystem, a Flexible Cortical Simulation Framework.

Neural computation Aug 27, 2018
Simulation of the cerebral cortex requires a combination of extensive domain-specific knowledge and efficient software. However, when the complexity of the biological system is combined with that of the software, the likelihood of coding errors incre...
Cerebral Cortex Microcomputers Humans Software Computer Simulation Neural Networks, Computer
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Domain Wall Motion-Based Dual-Threshold Activation Unit for Low-Power Classification of Non-Linearly Separable Functions.

IEEE transactions on biomedical circuits and systems Aug 27, 2018
Recently, a great deal of scientific endeavour has been devoted to developing spin-based neuromorphic platforms owing to the ultra-low-power benefits offered by spin devices and the inherent correspondence between spintronic phenomena and the desired...
Neural Networks, Computer Algorithms Humans Equipment Design Neurons Databases, Factual Models, Neurological
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