AIMC Topic:
Data Mining

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Classification of imbalanced bioinformatics data by using boundary movement-based ELM.

Bio-medical materials and engineering Jan 1, 2015
To address the imbalanced classification problem emerging in Bioinformatics, a boundary movement-based extreme learning machine (ELM) algorithm called BM-ELM was proposed. BM-ELM tries to firstly explore the prior information about data distribution ...
Models, Statistical Pattern Recognition, Automated Data Mining Sequence Alignment Machine Learning High-Throughput Nucleotide Sequencing Models, Genetic Sequence Analysis Algorithms Support Vector Machine Computer Simulation Databases, Genetic
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A novel fractal approach for predicting G-protein-coupled receptors and their subfamilies with support vector machines.

Bio-medical materials and engineering Jan 1, 2015
G-protein-coupled receptors (GPCRs) are seven membrane-spanning proteins and regulate many important physiological processes, such as vision, neurotransmission, immune response and so on. GPCRs-related pathways are the targets of a large number of ma...
Receptors, G-Protein-Coupled Sequence Alignment Data Mining Structure-Activity Relationship Sequence Analysis, Protein Pattern Recognition, Automated Amino Acid Sequence Molecular Sequence Data Fractals Algorithms Support Vector Machine Databases, Protein
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Why Mathematical Computer Simulations Are the New Laboratory for Scientists.

Substance use & misuse Jan 1, 2015
In this paper, we introduce a new powerful scientific paradigm to understand natural and cultural processes. This new paradigm is based on two fundamental keywords: Data, as representative sample of the process we need to analyze, and Artificial Adap...
Data Mining Epidemics Geographic Mapping Mathematical Computing Crime Humans Hemorrhagic Fever, Ebola Computer Simulation Africa, Western Neural Networks, Computer Reproducibility of Results Dengue Brazil Algorithms Research
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Unsupervised Structure Detection in Biomedical Data.

IEEE/ACM transactions on computational biology and bioinformatics Jan 1, 2015
A major challenge in computational biology is to find simple representations of high-dimensional data that best reveal the underlying structure. In this work, we present an intuitive and easy-to-implement method based on ranked neighborhood compariso...
Artificial Intelligence Algorithms Databases, Factual Humans Anti-HIV Agents Computational Biology Data Mining Neoplasms Pattern Recognition, Automated Drug Discovery HIV Infections
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RLIMS-P 2.0: A Generalizable Rule-Based Information Extraction System for Literature Mining of Protein Phosphorylation Information.

IEEE/ACM transactions on computational biology and bioinformatics Jan 1, 2015
We introduce RLIMS-P version 2.0, an enhanced rule-based information extraction (IE) system for mining kinase, substrate, and phosphorylation site information from scientific literature. Consisting of natural language processing and IE modules, the s...
Natural Language Processing Computational Biology Phosphoproteins Databases, Protein Data Mining Phosphorylation Software
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Named entity recognition and classification in biomedical text using classifier ensemble.

International journal of data mining and bioinformatics Jan 1, 2015
Named Entity Recognition and Classification (NERC) is an important task in information extraction for biomedicine domain. Biomedical Named Entities include mentions of proteins, genes, DNA, RNA, etc. which, in general, have complex structures and are...
Computational Biology Support Vector Machine Humans Databases, Genetic Algorithms Data Mining
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Enhancing Patient Safety Event Reporting by K-nearest Neighbor Classifier.

Studies in health technology and informatics Jan 1, 2015
Data quality was placed as a major reason for the low utility of patient safety event reporting systems. A pressing need in improving data quality has advanced recent research focus in data entry associated with human factors. The debate on structure...
Meaningful Use Risk Management Data Mining Data Accuracy Quality Improvement Patient Safety Pattern Recognition, Automated Medical Errors Decision Support Systems, Clinical United States Machine Learning
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Facilitating Full-text Access to Biomedical Literature Using Open Access Resources.

Studies in health technology and informatics Jan 1, 2015
Open access (OA) resources and local libraries often have their own literature databases, especially in the field of biomedicine. We have developed a method of linking a local library to a biomedical OA resource facilitating researchers' full-text ar...
Data Mining Semantics Pattern Recognition, Automated Machine Learning Periodicals as Topic Open Access Publishing Vocabulary, Controlled Database Management Systems Databases, Bibliographic
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Oncotherapy: A System for Requesting Chemotherapy Protocols.

Studies in health technology and informatics Jan 1, 2015
A clinical decision support system is able to provide oncologists with suitable treatment options at the moment of decision making regarding which chemotherapy protocol is the best to apply to a particular oncological case. The National Cancer Instit...
Databases, Factual Electronic Health Records Decision Support Systems, Clinical Medical Record Linkage Database Management Systems Drug Therapy Knowledge Bases Data Mining Practice Guidelines as Topic
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OntoMama: An Ontology Applied to Breast Cancer.

Studies in health technology and informatics Jan 1, 2015
This article describes the process of building an ontology to assist medical students and professionals specialized in Oncology. The ontology allows the user to obtain knowledge more quickly and thus assist professionals in their decision-making.
Medical Oncology Biological Ontologies Humans Female Breast Neoplasms Natural Language Processing Internet Data Mining
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