AIMC Topic: Pattern Recognition, Automated
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Combining Search, Social Media, and Traditional Data Sources to Improve Influenza Surveillance.
PLoS computational biology
Oct 29, 2015
We present a machine learning-based methodology capable of providing real-time ("nowcast") and forecast estimates of influenza activity in the US by leveraging data from multiple data sources including: Google searches, Twitter microblogs, nearly rea...
Fully automatized renal parenchyma volumetry using a support vector machine based recognition system for subject-specific probability map generation in native MR volume data.
Physics in medicine and biology
Oct 28, 2015
In epidemiological studies as well as in clinical practice the amount of produced medical image data strongly increased in the last decade. In this context organ segmentation in MR volume data gained increasing attention for medical applications. Esp...
Unsupervised Trajectory Segmentation for Surgical Gesture Recognition in Robotic Training.
IEEE transactions on bio-medical engineering
Oct 26, 2015
Dexterity and procedural knowledge are two critical skills that surgeons need to master to perform accurate and safe surgical interventions. However, current training systems do not allow us to provide an in-depth analysis of surgical gestures to pre...
A Guaranteed Similarity Metric Learning Framework for Biological Sequence Comparison.
IEEE/ACM transactions on computational biology and bioinformatics
Oct 26, 2015
Similarity of sequences is a key mathematical notion for Classification and Phylogenetic studies in Biology. The distance and similarity between two sequence are very important and widely studied. During the last decades, Similarity(distance) metric ...
Feed-Forward Neural Network Soft-Sensor Modeling of Flotation Process Based on Particle Swarm Optimization and Gravitational Search Algorithm.
Computational intelligence and neuroscience
Oct 25, 2015
For predicting the key technology indicators (concentrate grade and tailings recovery rate) of flotation process, a feed-forward neural network (FNN) based soft-sensor model optimized by the hybrid algorithm combining particle swarm optimization (PSO...
Exploiting ensemble learning for automatic cataract detection and grading.
Computer methods and programs in biomedicine
Oct 24, 2015
Cataract is defined as a lenticular opacity presenting usually with poor visual acuity. It is one of the most common causes of visual impairment worldwide. Early diagnosis demands the expertise of trained healthcare professionals, which may present a...
Practical applications for natural language processing in clinical research: The 2014 i2b2/UTHealth shared tasks.
Journal of biomedical informatics
Oct 24, 2015
The identification of cis-regulatory elements: A review from a machine learning perspective.
Bio Systems
Oct 21, 2015
The majority of the human genome consists of non-coding regions that have been called junk DNA. However, recent studies have unveiled that these regions contain cis-regulatory elements, such as promoters, enhancers, silencers, insulators, etc. These ...
Development of an automatic identification algorithm for antibiogram analysis.
Computers in biology and medicine
Oct 20, 2015
Routinely, diagnostic and microbiology laboratories perform antibiogram analysis which can present some difficulties leading to misreadings and intra and inter-reader deviations. An Automatic Identification Algorithm (AIA) has been proposed as a solu...
Building cell models and simulations from microscope images.
Methods (San Diego, Calif.)
Oct 17, 2015
The use of fluorescence microscopy has undergone a major revolution over the past twenty years, both with the development of dramatic new technologies and with the widespread adoption of image analysis and machine learning methods. Many open source s...
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