AIMC Topic: Data Mining

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Data Mining and Machine Learning Tools for Combinatorial Material Science of All-Oxide Photovoltaic Cells.

Molecular informatics Mar 20, 2015
Growth in energy demands, coupled with the need for clean energy, are likely to make solar cells an important part of future energy resources. In particular, cells entirely made of metal oxides (MOs) have the potential to provide clean and affordable...
Machine Learning Metals Data Mining Models, Theoretical Solar Energy Oxides
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Extracting drug-drug interactions from literature using a rich feature-based linear kernel approach.

Journal of biomedical informatics Mar 19, 2015
Identifying unknown drug interactions is of great benefit in the early detection of adverse drug reactions. Despite existence of several resources for drug-drug interaction (DDI) information, the wealth of such information is buried in a body of unst...
Vocabulary, Controlled Natural Language Processing Periodicals as Topic Drug Interactions Data Mining Semantics Pattern Recognition, Automated Support Vector Machine
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Machine learning approaches to analysing textual injury surveillance data: a systematic review.

Accident; analysis and prevention Mar 19, 2015
OBJECTIVE: To synthesise recent research on the use of machine learning approaches to mining textual injury surveillance data.
Machine Learning Female Infant, Newborn Humans Adult Male Middle Aged Aged Aged, 80 and over Young Adult Population Surveillance Data Mining Statistics as Topic Wounds and Injuries Infant Adolescent Child, Preschool Child Models, Theoretical
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Integrating biological knowledge based on functional annotations for biclustering of gene expression data.

Computer methods and programs in biomedicine Mar 18, 2015
Gene expression data analysis is based on the assumption that co-expressed genes imply co-regulated genes. This assumption is being reformulated because the co-expression of a group of genes may be the result of an independent activation with respect...
Molecular Sequence Annotation Gene Ontology Yeasts Genes, Fungal Gene Expression Profiling Databases, Genetic Cluster Analysis Unsupervised Machine Learning Knowledge Bases Data Mining Algorithms
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Comparing a knowledge-driven approach to a supervised machine learning approach in large-scale extraction of drug-side effect relationships from free-text biomedical literature.

BMC bioinformatics Mar 18, 2015
BACKGROUND: Systems approaches to studying drug-side-effect (drug-SE) associations are emerging as an active research area for both drug target discovery and drug repositioning. However, a comprehensive drug-SE association knowledge base does not exi...
Databases, Pharmaceutical Phenotype Humans MEDLINE Pharmaceutical Preparations Artificial Intelligence Drug Discovery Search Engine Periodicals as Topic Drug Repositioning Knowledge Bases Drug-Related Side Effects and Adverse Reactions Data Mining Biological Ontologies
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Shared resources, shared costs--leveraging biocuration resources.

Database : the journal of biological databases and curation Mar 16, 2015
The manual curation of the information in biomedical resources is an expensive task. This article argues the value of this approach in comparison with other apparently less costly options, such as automated annotation or text-mining, then discusses w...
Databases, Genetic Data Mining Gene Ontology Data Curation
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Pharmacovigilance from social media: mining adverse drug reaction mentions using sequence labeling with word embedding cluster features.

Journal of the American Medical Informatics Association : JAMIA Mar 9, 2015
OBJECTIVE: Social media is becoming increasingly popular as a platform for sharing personal health-related information. This information can be utilized for public health monitoring tasks, particularly for pharmacovigilance, via the use of natural la...
Pharmacovigilance Semantics Social Media Natural Language Processing Data Mining Humans Artificial Intelligence
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mycoCLAP, the database for characterized lignocellulose-active proteins of fungal origin: resource and text mining curation support.

Database : the journal of biological databases and curation Mar 8, 2015
Enzymes active on components of lignocellulosic biomass are used for industrial applications ranging from food processing to biofuels production. These include a diverse array of glycoside hydrolases, carbohydrate esterases, polysaccharide lyases and...
Data Curation Enzymes Fungal Proteins Natural Language Processing Genes, Fungal Data Mining Lignin Databases, Genetic
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Regular expression-based learning to extract bodyweight values from clinical notes.

Journal of biomedical informatics Mar 5, 2015
BACKGROUND: Bodyweight related measures (weight, height, BMI, abdominal circumference) are extremely important for clinical care, research and quality improvement. These and other vitals signs data are frequently missing from structured tables of ele...
Humans Body Weight Data Mining Electronic Health Records Data Curation Reproducibility of Results Natural Language Processing
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Automatic concept recognition using the human phenotype ontology reference and test suite corpora.

Database : the journal of biological databases and curation Feb 27, 2015
Concept recognition tools rely on the availability of textual corpora to assess their performance and enable the identification of areas for improvement. Typically, corpora are developed for specific purposes, such as gene name recognition. Gene and ...
Software Phenotype Data Mining Gene Ontology Humans
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