AIMC Topic: Biomedical Research

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Supervised Learning and Knowledge-Based Approaches Applied to Biomedical Word Sense Disambiguation.

Journal of integrative bioinformatics Dec 13, 2017
Word sense disambiguation (WSD) is an important step in biomedical text mining, which is responsible for assigning an unequivocal concept to an ambiguous term, improving the accuracy of biomedical information extraction systems. In this work we follo...
Databases as Topic Semantics Biomedical Research Knowledge Bases
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Identifying genotype-phenotype relationships in biomedical text.

Journal of biomedical semantics Dec 6, 2017
BACKGROUND: One important type of information contained in biomedical research literature is the newly discovered relationships between phenotypes and genotypes. Because of the large quantity of literature, a reliable automatic system to identify thi...
Machine Learning Phenotype Genotype Databases, Factual Biomedical Research Biological Ontologies
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A survey of machine learning applications in HIV clinical research and care.

Computers in biology and medicine Nov 9, 2017
A wealth of genetic, demographic, clinical and biomarker data is collected from routine clinical care of HIV patients and exists in the form of medical records available among the medical care and research communities. Machine learning (ML) methods h...
Genomics Biomedical Research Anti-Retroviral Agents HIV Infections Humans Machine Learning
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Long short-term memory RNN for biomedical named entity recognition.

BMC bioinformatics Oct 30, 2017
BACKGROUND: Biomedical named entity recognition(BNER) is a crucial initial step of information extraction in biomedical domain. The task is typically modeled as a sequence labeling problem. Various machine learning algorithms, such as Conditional Ran...
Information Storage and Retrieval Neural Networks, Computer Machine Learning Algorithms Biomedical Research
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CNN-based ranking for biomedical entity normalization.

BMC bioinformatics Oct 3, 2017
BACKGROUND: Most state-of-the-art biomedical entity normalization systems, such as rule-based systems, merely rely on morphological information of entity mentions, but rarely consider their semantic information. In this paper, we introduce a novel co...
Neural Networks, Computer Algorithms Humans Semantics Reference Standards Biomedical Research Databases as Topic
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Semantic annotation in biomedicine: the current landscape.

Journal of biomedical semantics Sep 22, 2017
The abundance and unstructured nature of biomedical texts, be it clinical or research content, impose significant challenges for the effective and efficient use of information and knowledge stored in such texts. Annotation of biomedical documents wit...
Semantics Biological Ontologies Biomedical Research Information Storage and Retrieval Humans Electronic Health Records
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Large-scale online semantic indexing of biomedical articles via an ensemble of multi-label classification models.

Journal of biomedical semantics Sep 22, 2017
BACKGROUND: In this paper we present the approach that we employed to deal with large scale multi-label semantic indexing of biomedical papers. This work was mainly implemented within the context of the BioASQ challenge (2013-2017), a challenge conce...
Semantics Abstracting and Indexing Models, Statistical Machine Learning Biomedical Research
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Semantic relatedness and similarity of biomedical terms: examining the effects of recency, size, and section of biomedical publications on the performance of word2vec.

BMC medical informatics and decision making Jul 3, 2017
BACKGROUND: Understanding semantic relatedness and similarity between biomedical terms has a great impact on a variety of applications such as biomedical information retrieval, information extraction, and recommender systems. The objective of this st...
Natural Language Processing PubMed Information Storage and Retrieval Semantics Biomedical Research Models, Theoretical Humans
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A neural joint model for entity and relation extraction from biomedical text.

BMC bioinformatics Mar 31, 2017
BACKGROUND: Extracting biomedical entities and their relations from text has important applications on biomedical research. Previous work primarily utilized feature-based pipeline models to process this task. Many efforts need to be made on feature e...
Monocytes Databases, Factual Neural Networks, Computer Data Mining Models, Theoretical Biomedical Research
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CATTLE (CAncer treatment treasury with linked evidence): An integrated knowledge base for personalized oncology research and practice.

CPT: pharmacometrics & systems pharmacology Mar 13, 2017
Despite the existence of various databases cataloging cancer drugs, there is an emerging need to support the development and application of personalized therapies, where an integrated understanding of the clinical factors and drug mechanism of action...
Biomedical Research Neoplasms Databases, Factual Precision Medicine Knowledge Bases Clinical Trials as Topic Drug Discovery Humans Antineoplastic Agents
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