AIMC Topic: PubMed

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A comparison of word embeddings for the biomedical natural language processing.

Journal of biomedical informatics Sep 12, 2018
BACKGROUND: Word embeddings have been prevalently used in biomedical Natural Language Processing (NLP) applications due to the ability of the vector representations being able to capture useful semantic properties and linguistic relationships between...
Humans Aged Young Adult Adult Male Machine Learning Electronic Health Records Female Minnesota Information Storage and Retrieval Medical Informatics Semantics Family Health Unified Medical Language System Linguistics Natural Language Processing Middle Aged PubMed Adolescent Probability Models, Statistical
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Supporting biomedical ontology evolution by identifying outdated concepts and the required type of change.

Journal of biomedical informatics Sep 8, 2018
The consistent evolution of ontologies is a major challenge for systems using semantically enriched data, for example, for annotating, indexing, or reasoning. The biomedical domain is a typical example where ontologies, expressed with different forma...
Computers Semantics Reproducibility of Results Systematized Nomenclature of Medicine Time Factors Biological Ontologies Computational Biology Stochastic Processes Machine Learning PubMed Algorithms Probability
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Automatic extraction of gene-disease associations from literature using joint ensemble learning.

PloS one Jul 26, 2018
A wealth of knowledge concerning relations between genes and its associated diseases is present in biomedical literature. Mining these biological associations from literature can provide immense support to research ranging from drug-targetable pathwa...
Data Mining Information Storage and Retrieval Semantics Disease Humans Support Vector Machine PubMed
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OC-2-KB: integrating crowdsourcing into an obesity and cancer knowledge base curation system.

BMC medical informatics and decision making Jul 23, 2018
BACKGROUND: There is strong scientific evidence linking obesity and overweight to the risk of various cancers and to cancer survivorship. Nevertheless, the existing online information about the relationship between obesity and cancer is poorly organi...
Crowdsourcing Semantics Evidence-Based Medicine Data Curation Humans PubMed Neoplasms Knowledge Bases Obesity Information Storage and Retrieval Machine Learning Software
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Extending PubMed searches to ClinicalTrials.gov through a machine learning approach for systematic reviews.

Journal of clinical epidemiology Jul 5, 2018
OBJECTIVES: Despite their essential role in collecting and organizing published medical literature, indexed search engines are unable to cover all relevant knowledge. Hence, current literature recommends the inclusion of clinical trial registries in ...
Clinical Trials as Topic Search Engine PubMed Data Mining Information Storage and Retrieval Humans Machine Learning Sensitivity and Specificity Systematic Reviews as Topic Meta-Analysis as Topic
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A Deep Learning Method to Automatically Identify Reports of Scientifically Rigorous Clinical Research from the Biomedical Literature: Comparative Analytic Study.

Journal of medical Internet research Jun 25, 2018
BACKGROUND: A major barrier to the practice of evidence-based medicine is efficiently finding scientifically sound studies on a given clinical topic.
PubMed Information Storage and Retrieval Humans Neural Networks, Computer Deep Learning
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Deep learning meets ontologies: experiments to anchor the cardiovascular disease ontology in the biomedical literature.

Journal of biomedical semantics Apr 12, 2018
BACKGROUND: Automatic identification of term variants or acceptable alternative free-text terms for gene and protein names from the millions of biomedical publications is a challenging task. Ontologies, such as the Cardiovascular Disease Ontology (CV...
Humans Cardiovascular Diseases PubMed Deep Learning Biological Ontologies ROC Curve Molecular Sequence Annotation
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A bibliometric analysis of natural language processing in medical research.

BMC medical informatics and decision making Mar 22, 2018
BACKGROUND: Natural language processing (NLP) has become an increasingly significant role in advancing medicine. Rich research achievements of NLP methods and applications for medical information processing are available. It is of great significance ...
Bibliometrics Knowledge Discovery Natural Language Processing PubMed Humans Biomedical Research
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Co-occurrence graphs for word sense disambiguation in the biomedical domain.

Artificial intelligence in medicine Mar 21, 2018
Word sense disambiguation is a key step for many natural language processing tasks (e.g. summarization, text classification, relation extraction) and presents a challenge to any system that aims to process documents from the biomedical domain. In thi...
Semantics Unified Medical Language System PubMed Knowledge Bases Datasets as Topic Algorithms Natural Language Processing
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Using machine learning algorithms to identify genes essential for cell survival.

BMC bioinformatics Oct 3, 2017
BACKGROUND: With the explosion of data comes a proportional opportunity to identify novel knowledge with the potential for application in targeted therapies. In spite of this huge amounts of data, the solutions to treating complex disease is elusive....
Cell Line Reproducibility of Results Cell Survival Humans RNA, Small Interfering Genes, Essential Animals Machine Learning PubMed Neoplasms Algorithms RNA Interference
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