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Showing 67521 to 67530 of 95995 articles
Machine learning reveals chronic graft--host disease phenotypes and stratifies survival after stem cell transplant for hematologic malignancies.
Haematologica
Sep 20, 2018
The application of machine learning in medicine has been productive in multiple fields, but has not previously been applied to analyze the complexity of organ involvement by chronic graft--host disease. Chronic graft--host disease is classified by an...
Soft + Hardwired attention: An LSTM framework for human trajectory prediction and abnormal event detection.
Neural networks : the official journal of the International Neural Network Society
Sep 20, 2018
As humans we possess an intuitive ability for navigation which we master through years of practice; however existing approaches to model this trait for diverse tasks including monitoring pedestrian flow and detecting abnormal events have been limited...
Adapting artificial neural networks to a specific driver enhances detection and prediction of drowsiness.
Accident; analysis and prevention
Sep 20, 2018
Monitoring car drivers for drowsiness is crucial but challenging. The high inter-individual variability observed in measurements raises questions about the accuracy of the drowsiness detection process. In this study, we sought to enhance the performa...
Enhanced Computational Model for Gravitational Search Optimized Echo State Neural Networks Based Oral Cancer Detection.
Journal of medical systems
Sep 20, 2018
The Clinical Oncology of American Society report in 2016 predicted deaths are increased upto 9570 due to oral cancer. This cancer occurs due to abnormal tissue growth in the oral cavity. This cancer has limited symptoms, so, it has been difficult to ...
An accessible and efficient autism screening method for behavioural data and predictive analyses.
Health informatics journal
Sep 19, 2018
Autism spectrum disorder is associated with significant healthcare costs, and early diagnosis can substantially reduce these. Unfortunately, waiting times for an autism spectrum disorder diagnosis are lengthy due to the fact that current diagnostic p...
Digital diabetes: Perspectives for diabetes prevention, management and research.
Diabetes & metabolism
Sep 19, 2018
Digital medicine, digital research and artificial intelligence (AI) have the power to transform the field of diabetes with continuous and no-burden remote monitoring of patients' symptoms, physiological data, behaviours, and social and environmental ...
Deep-learning-based, computer-aided classifier developed with a small dataset of clinical images surpasses board-certified dermatologists in skin tumour diagnosis.
The British journal of dermatology
Sep 19, 2018
BACKGROUND: Application of deep-learning technology to skin cancer classification can potentially improve the sensitivity and specificity of skin cancer screening, but the number of training images required for such a system is thought to be extremel...
Comparison of the Abbott Architect BRAHMS and the Biomérieux Vidas BRAHMS Procalcitonin Assays.
The journal of applied laboratory medicine
Sep 19, 2018
BACKGROUND: Procalcitonin (PCT) is a well-established marker for bacterial infection. Recently the US Food and Drug Administration approved the expanded use of this biomarker to guide clinical decisions for antibiotic treatment in patients with lower...
Application of identity vectors for EEG classification.
Journal of neuroscience methods
Sep 19, 2018
BACKGROUND: Finding an optimal EEG subject verification algorithm is a long standing goal within the EEG community. For every advancement made, another feature set, classifier, or dataset is often introduced; tracking improvements in classification w...
Protein function prediction from protein-protein interaction network using gene ontology based neighborhood analysis and physico-chemical features.
Journal of bioinformatics and computational biology
Sep 19, 2018
Protein Function Prediction from Protein-Protein Interaction Network (PPIN) and physico-chemical features using the Gene Ontology (GO) classification are indeed very useful for assigning biological or biochemical functions to a protein. They also lea...
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