AIMC Topic: MEDLINE

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Knowledge-Based Query Construction Using the CDSS Knowledge Base for Efficient Evidence Retrieval.

Sensors (Basel, Switzerland) Aug 28, 2015
Finding appropriate evidence to support clinical practices is always challenging, and the construction of a query to retrieve such evidence is a fundamental step. Typically, evidence is found using manual or semi-automatic methods, which are time-con...
Assisted Living Facilities Home Care Services Knowledge Bases Information Storage and Retrieval Artificial Intelligence MEDLINE Software Electronic Health Records Neoplasms Decision Support Systems, Clinical Chronic Disease Humans
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Learning the Structure of Biomedical Relationships from Unstructured Text.

PLoS computational biology Jul 28, 2015
The published biomedical research literature encompasses most of our understanding of how drugs interact with gene products to produce physiological responses (phenotypes). Unfortunately, this information is distributed throughout the unstructured te...
Machine Learning Algorithms Pharmacogenetics Natural Language Processing Pattern Recognition, Automated Drug Interactions Vocabulary, Controlled Data Mining MEDLINE
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The Human Phenotype Ontology: Semantic Unification of Common and Rare Disease.

American journal of human genetics Jun 25, 2015
The Human Phenotype Ontology (HPO) is widely used in the rare disease community for differential diagnostics, phenotype-driven analysis of next-generation sequence-variation data, and translational research, but a comparable resource has not been ava...
Phenotype Models, Biological MEDLINE Humans Terminology as Topic Gene Ontology Genetic Diseases, Inborn
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Identifying synonymy between relational phrases using word embeddings.

Journal of biomedical informatics May 22, 2015
Many text mining applications in the biomedical domain benefit from automatic clustering of relational phrases into synonymous groups, since it alleviates the problem of spurious mismatches caused by the diversity of natural language expressions. Mos...
False Positive Reactions Vocabulary, Controlled Data Mining Probability Markov Chains Medical Informatics Semantics MEDLINE Cluster Analysis Models, Statistical Natural Language Processing Databases, Factual Reproducibility of Results Fuzzy Logic Algorithms
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Multi-focus cluster labeling.

Journal of biomedical informatics Apr 11, 2015
Document collections resulting from searches in the biomedical literature, for instance, in PubMed, are often so large that some organization of the returned information is necessary. Clustering is an efficient tool for organizing search results. To ...
Natural Language Processing Data Mining Documentation Vocabulary, Controlled Machine Learning User-Computer Interface MEDLINE Pattern Recognition, Automated
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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...
Periodicals as Topic Drug Discovery Search Engine Data Mining Drug Repositioning Databases, Pharmaceutical Biological Ontologies Drug-Related Side Effects and Adverse Reactions Pharmaceutical Preparations Humans Knowledge Bases Artificial Intelligence MEDLINE Phenotype
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Automated confidence ranked classification of randomized controlled trial articles: an aid to evidence-based medicine.

Journal of the American Medical Informatics Association : JAMIA Feb 5, 2015
OBJECTIVE: For many literature review tasks, including systematic review (SR) and other aspects of evidence-based medicine, it is important to know whether an article describes a randomized controlled trial (RCT). Current manual annotation is not com...
Artificial Intelligence Humans MEDLINE Randomized Controlled Trials as Topic ROC Curve Evidence-Based Medicine Review Literature as Topic Support Vector Machine Information Storage and Retrieval
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Link-topic model for biomedical abbreviation disambiguation.

Journal of biomedical informatics Dec 30, 2014
INTRODUCTION: The ambiguity of biomedical abbreviations is one of the challenges in biomedical text mining systems. In particular, the handling of term variants and abbreviations without nearby definitions is a critical issue. In this study, we adopt...
Information Storage and Retrieval MEDLINE Medical Subject Headings Unified Medical Language System Linguistics Models, Statistical Natural Language Processing Probability Algorithms Reproducibility of Results Software Support Vector Machine
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Aggregator: a machine learning approach to identifying MEDLINE articles that derive from the same underlying clinical trial.

Methods (San Diego, Calif.) Nov 20, 2014
OBJECTIVE: It is important to identify separate publications that report outcomes from the same underlying clinical trial, in order to avoid over-counting these as independent pieces of evidence.
Humans Clinical Trials as Topic Machine Learning Cluster Analysis MEDLINE
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A new approach and gold standard toward author disambiguation in MEDLINE.

Journal of the American Medical Informatics Association : JAMIA Oct 1, 2019
OBJECTIVE: Author-centric analyses of fast-growing biomedical reference databases are challenging due to author ambiguity. This problem has been mainly addressed through author disambiguation using supervised machine-learning algorithms. Such algorit...
Machine Learning MEDLINE Reference Standards Crowdsourcing Databases, Bibliographic Authorship Algorithms Data Mining
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