AIMC Topic: Data Mining

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Applying under-sampling techniques and cost-sensitive learning methods on risk assessment of breast cancer.

Journal of medical systems
Breast cancer is one of the most common cause of cancer mortality. Early detection through mammography screening could significantly reduce mortality from breast cancer. However, most of screening methods may consume large amount of resources. We pro...

PhenoMiner: a quantitative phenotype database for the laboratory rat, Rattus norvegicus. Application in hypertension and renal disease.

Database : the journal of biological databases and curation
Rats have been used extensively as animal models to study physiological and pathological processes involved in human diseases. Numerous rat strains have been selectively bred for certain biological traits related to specific medical interests. Recent...

Validating estimates of prevalence of non-communicable diseases based on household surveys: the symptomatic diagnosis study.

BMC medicine
BACKGROUND: Easy-to-collect epidemiological information is critical for the more accurate estimation of the prevalence and burden of different non-communicable diseases around the world. Current measurement is restricted by limitations in existing me...

OntoMate: a text-mining tool aiding curation at the Rat Genome Database.

Database : the journal of biological databases and curation
The Rat Genome Database (RGD) is the premier repository of rat genomic, genetic and physiologic data. Converting data from free text in the scientific literature to a structured format is one of the main tasks of all model organism databases. RGD spe...

ENVIRONMENTS and EOL: identification of Environment Ontology terms in text and the annotation of the Encyclopedia of Life.

Bioinformatics (Oxford, England)
UNLABELLED: The association of organisms to their environments is a key issue in exploring biodiversity patterns. This knowledge has traditionally been scattered, but textual descriptions of taxa and their habitats are now being consolidated in centr...

Assessment of ultrafine particles and noise measurements using fuzzy logic and data mining techniques.

The Science of the total environment
This study focuses on correlations between total number concentrations, road traffic emissions and noise levels in an urban area in the southwest of Spain during the winter and summer of 2009. The high temporal correlation between sound pressure leve...

Extracting Various Classes of Data From Biological Text Using the Concept of Existence Dependency.

IEEE journal of biomedical and health informatics
One of the key goals of biological natural language processing (NLP) is the automatic information extraction from biomedical publications. Most current constituency and dependency parsers overlook the semantic relationships between the constituents c...

Embedding assisted prediction architecture for event trigger identification.

Journal of bioinformatics and computational biology
Molecular events normally have significant meanings since they describe important biological interactions or alternations such as binding of a protein. As a crucial step of biological event extraction, event trigger identification has attracted much ...

LinkRbrain: multi-scale data integrator of the brain.

Journal of neuroscience methods
BACKGROUND: LinkRbrain is an open-access web platform for multi-scale data integration and visualization of human brain data. This platform integrates anatomical, functional, and genetic knowledge produced by the scientific community.

A vector reconstruction based clustering algorithm particularly for large-scale text collection.

Neural networks : the official journal of the International Neural Network Society
Along with the fast evolvement of internet technology, internet users have to face the large amount of textual data every day. Apparently, organizing texts into categories can help users dig the useful information from large-scale text collection. Cl...