AIMC Topic:
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An Ensemble Multilabel Classification for Disease Risk Prediction.
Journal of healthcare engineering
Jun 15, 2017
It is important to identify and prevent disease risk as early as possible through regular physical examinations. We formulate the disease risk prediction into a multilabel classification problem. A novel Ensemble Label Power-set Pruned datasets Joint...
Imbalance-Aware Machine Learning for Predicting Rare and Common Disease-Associated Non-Coding Variants.
Scientific reports
Jun 7, 2017
Disease and trait-associated variants represent a tiny minority of all known genetic variation, and therefore there is necessarily an imbalance between the small set of available disease-associated and the much larger set of non-deleterious genomic v...
Intuitive control of mobile robots: an architecture for autonomous adaptive dynamic behaviour integration.
Cognitive processing
Jun 5, 2017
In this paper, we present a novel approach to human-robot control. Taking inspiration from behaviour-based robotics and self-organisation principles, we present an interfacing mechanism, with the ability to adapt both towards the user and the robotic...
Dead simple OWL design patterns.
Journal of biomedical semantics
Jun 5, 2017
BACKGROUND: Bio-ontologies typically require multiple axes of classification to support the needs of their users. Development of such ontologies can only be made scalable and sustainable by the use of inference to automate classification via consiste...
DeepNano: Deep recurrent neural networks for base calling in MinION nanopore reads.
PloS one
Jun 5, 2017
The MinION device by Oxford Nanopore produces very long reads (reads over 100 kBp were reported); however it suffers from high sequencing error rate. We present an open-source DNA base caller based on deep recurrent neural networks and show that the ...
Automated histological classification of whole-slide images of gastric biopsy specimens.
Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association
Jun 2, 2017
BACKGROUND: Automated image analysis has been developed currently in the field of surgical pathology. The aim of the present study was to evaluate the classification accuracy of the e-Pathologist image analysis software.
An empirical analysis of ontology reuse in BioPortal.
Journal of biomedical informatics
Jun 2, 2017
Biomedical ontologies often reuse content (i.e., classes and properties) from other ontologies. Content reuse enables a consistent representation of a domain and reusing content can save an ontology author significant time and effort. Prior studies h...
A robot for high yield electrophysiology and morphology of single neurons in vivo.
Nature communications
Jun 1, 2017
Single-cell characterization and perturbation of neurons provides knowledge critical to addressing fundamental neuroscience questions including the structure-function relationship and neuronal cell-type classification. Here we report a robot for effi...
ROS-IGTL-Bridge: an open network interface for image-guided therapy using the ROS environment.
International journal of computer assisted radiology and surgery
May 31, 2017
PURPOSE: With the growing interest in advanced image-guidance for surgical robot systems, rapid integration and testing of robotic devices and medical image computing software are becoming essential in the research and development. Maximizing the use...
Hybridizing Feature Selection and Feature Learning Approaches in QSAR Modeling for Drug Discovery.
Scientific reports
May 25, 2017
Quantitative structure-activity relationship modeling using machine learning techniques constitutes a complex computational problem, where the identification of the most informative molecular descriptors for predicting a specific target property play...
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