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Machine learning classification of surgical pathology reports and chunk recognition for information extraction noise reduction.
Artificial intelligence in medicine
Jun 8, 2016
BACKGROUND AND AIMS: Machine learning techniques for the text mining of cancer-related clinical documents have not been sufficiently explored. Here some techniques are presented for the pre-processing of free-text breast cancer pathology reports, wit...
The Proteasix Ontology.
Journal of biomedical semantics
Jun 4, 2016
BACKGROUND: The Proteasix Ontology (PxO) is an ontology that supports the Proteasix tool; an open-source peptide-centric tool that can be used to predict automatically and in a large-scale fashion in silico the proteases involved in the generation of...
Reply to Einarsson: The computational power of parallel network exploration with many bioagents.
Proceedings of the National Academy of Sciences of the United States of America
May 25, 2016
SWIFT-Review: a text-mining workbench for systematic review.
Systematic reviews
May 23, 2016
BACKGROUND: There is growing interest in using machine learning approaches to priority rank studies and reduce human burden in screening literature when conducting systematic reviews. In addition, identifying addressable questions during the problem ...
Tracking medical genetic literature through machine learning.
Molecular genetics and metabolism
May 22, 2016
There has been remarkable progress in identifying the causes of genetic conditions as well as understanding how changes in specific genes cause disease. Though difficult (and often superficial) to parse, an interesting tension involves emphasis on ba...
Evaluation of tactical training in team handball by means of artificial neural networks.
Journal of sports sciences
May 21, 2016
While tactical performance in competition has been analysed extensively, the assessment of training processes of tactical behaviour has rather been neglected in the literature. Therefore, the purpose of this study is to provide a methodology to asses...
Multilevel Weighted Support Vector Machine for Classification on Healthcare Data with Missing Values.
PloS one
May 19, 2016
This work is motivated by the needs of predictive analytics on healthcare data as represented by Electronic Medical Records. Such data is invariably problematic: noisy, with missing entries, with imbalance in classes of interests, leading to serious ...
Intrinsic Plasticity for Natural Competition in Koniocortex-Like Neural Networks.
International journal of neural systems
May 16, 2016
In this paper, we use the neural property known as intrinsic plasticity to develop neural network models that resemble the koniocortex, the fourth layer of sensory cortices. These models evolved from a very basic two-layered neural network to a compl...
BELTracker: evidence sentence retrieval for BEL statements.
Database : the journal of biological databases and curation
May 12, 2016
Biological expression language (BEL) is one of the main formal representation models of biological networks. The primary source of information for curating biological networks in BEL representation has been literature. It remains a challenge to ident...
BelSmile: a biomedical semantic role labeling approach for extracting biological expression language from text.
Database : the journal of biological databases and curation
May 12, 2016
Biological expression language (BEL) is one of the most popular languages to represent the causal and correlative relationships among biological events. Automatically extracting and representing biomedical events using BEL can help biologists quickly...
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