AI Medical Compendium Topic:
Data Mining

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Potent pairing: ensemble of long short-term memory networks and support vector machine for chemical-protein relation extraction.

Database : the journal of biological databases and curation Jan 1, 2018
Biomedical researchers regularly discover new interactions between chemical compounds/drugs and genes/proteins, and report them in research literature. Having knowledge about these interactions is crucially important in many research areas such as pr...
Drug Discovery Deep Learning Protein Binding Neural Networks, Computer Pharmaceutical Preparations Data Mining Databases, Chemical Support Vector Machine Proteins Databases, Protein
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Annotation of phenotypes using ontologies: a gold standard for the training and evaluation of natural language processing systems.

Database : the journal of biological databases and curation Jan 1, 2018
Natural language descriptions of organismal phenotypes, a principal object of study in biology, are abundant in the biological literature. Expressing these phenotypes as logical statements using ontologies would enable large-scale analysis on phenoty...
Data Curation Humans Natural Language Processing Phenotype Data Mining Gene Ontology
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Assisting document triage for human kinome curation via machine learning.

Database : the journal of biological databases and curation Jan 1, 2018
In the era of data explosion, the increasing frequency of published articles presents unorthodox challenges to fulfill specific curation requirements for bio-literature databases. Recognizing these demands, we designed a document triage system with a...
Documentation Statistics as Topic Humans Machine Learning Proteome Protein Kinases Data Mining
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Hierarchical bi-directional attention-based RNNs for supporting document classification on protein-protein interactions affected by genetic mutations.

Database : the journal of biological databases and curation Jan 1, 2018
In this paper, we describe a hierarchical bi-directional attention-based Re-current Neural Network (RNN) as a reusable sequence encoder architecture, which is used as sentence and document encoder for document classification. The sequence encoder is ...
Neural Networks, Computer Algorithms Reproducibility of Results Databases, Protein Mutation Data Mining Protein Interaction Maps Models, Theoretical Support Vector Machine
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Natural language processing of clinical notes for identification of critical limb ischemia.

International journal of medical informatics Dec 28, 2017
BACKGROUND: Critical limb ischemia (CLI) is a complication of advanced peripheral artery disease (PAD) with diagnosis based on the presence of clinical signs and symptoms. However, automated identification of cases from electronic health records (EHR...
Humans Algorithms Electronic Health Records Peripheral Arterial Disease Ischemia Male Female Natural Language Processing Case-Control Studies Aged Data Mining Lower Extremity
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Disease named entity recognition from biomedical literature using a novel convolutional neural network.

BMC medical genomics Dec 28, 2017
BACKGROUND: Automatic disease named entity recognition (DNER) is of utmost importance for development of more sophisticated BioNLP tools. However, most conventional CRF based DNER systems rely on well-designed features whose selection is labor intens...
Disease Neural Networks, Computer Biomedical Research Data Mining
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Data Mining and Machine Learning Algorithms Using IL28B Genotype and Biochemical Markers Best Predicted Advanced Liver Fibrosis in Chronic Hepatitis C.

Japanese journal of infectious diseases Dec 26, 2017
IL28B single nucleotide polymorphism (rs12979860) is an etiology-independent predictor of hepatitis C virus (HCV)-related hepatic fibrosis. Data mining is a method of predictive analysis which can explore tremendous volumes of information from health...
Interferons Male Middle Aged Genetic Predisposition to Disease Humans Retrospective Studies Genetic Markers Polymorphism, Single Nucleotide Machine Learning Female Data Mining Liver Cirrhosis Algorithms Hepatitis C, Chronic Interleukins
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Automatic mining of symptom severity from psychiatric evaluation notes.

International journal of methods in psychiatric research Dec 22, 2017
OBJECTIVES: As electronic mental health records become more widely available, several approaches have been suggested to automatically extract information from free-text narrative aiming to support epidemiological research and clinical decision-making...
Adult Machine Learning Severity of Illness Index Humans Data Mining Neural Networks, Computer Mental Disorders Electronic Health Records
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Comparison, alignment, and synchronization of cell line information between CLO and EFO.

BMC bioinformatics Dec 21, 2017
BACKGROUND: The Experimental Factor Ontology (EFO) is an application ontology driven by experimental variables including cell lines to organize and describe the diverse experimental variables and data resided in the EMBL-EBI resources. The Cell Line ...
Semantics Biological Ontologies Cell Physiological Phenomena Computational Biology Cell Line Data Mining Databases, Factual Gene Expression Profiling Humans Algorithms
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Clustering Categorical Data Using Community Detection Techniques.

Computational intelligence and neuroscience Dec 21, 2017
With the advent of the -modes algorithm, the toolbox for clustering categorical data has an efficient tool that scales linearly in the number of data items. However, random initialization of cluster centers in -modes makes it hard to reach a good clu...
Cluster Analysis Data Mining Pattern Recognition, Automated Neural Networks, Computer Algorithms Computer Simulation Humans
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