AIMC Topic: Knowledge Bases

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Ontology-based systematic representation and analysis of traditional Chinese drugs against rheumatism.

BMC systems biology Dec 21, 2017
BACKGROUND: Rheumatism represents any disease condition marked with inflammation and pain in the joints, muscles, or connective tissues. Many traditional Chinese drugs have been used for a long time to treat rheumatism. However, a comprehensive infor...
Humans Medicine, Chinese Traditional Rheumatic Diseases Knowledge Bases Semantics Biological Ontologies
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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...
Biomedical Research Knowledge Bases Databases as Topic Semantics
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Development of Decision Forest Models for Prediction of Drug-Induced Liver Injury in Humans Using A Large Set of FDA-approved Drugs.

Scientific reports Dec 11, 2017
Drug-induced liver injury (DILI) presents a significant challenge to drug development and regulatory science. The FDA's Liver Toxicity Knowledge Base (LTKB) evaluated >1000 drugs for their likelihood of causing DILI in humans, of which >700 drugs wer...
Databases, Factual Risk Assessment United States Machine Learning Algorithms Decision Support Techniques United States Food and Drug Administration Toxicology Chemical and Drug Induced Liver Injury Pharmaceutical Preparations Models, Biological Knowledge Bases Humans
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Utilizing knowledge base of amino acids structural neighborhoods to predict protein-protein interaction sites.

BMC bioinformatics Dec 6, 2017
BACKGROUND: Protein-protein interactions (PPI) play a key role in an investigation of various biochemical processes, and their identification is thus of great importance. Although computational prediction of which amino acids take part in a PPI has b...
Software Computational Biology Databases, Protein Amino Acids Knowledge Bases Protein Interaction Mapping Models, Statistical Proteins
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Knowledge graph prediction of unknown adverse drug reactions and validation in electronic health records.

Scientific reports Nov 27, 2017
Unknown adverse reactions to drugs available on the market present a significant health risk and limit accurate judgement of the cost/benefit trade-off for medications. Machine learning has the potential to predict unknown adverse reactions from curr...
Knowledge Bases Machine Learning Algorithms Public Health Surveillance Databases, Factual Drug-Related Side Effects and Adverse Reactions Prognosis Electronic Health Records Reproducibility of Results Humans
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About Our Knowledge Base: How Knowledge Development Informs Researchers and Readers.

Journal of human lactation : official journal of International Lactation Consultant Association Nov 22, 2017
Knowledge Bases Evidence-Based Practice Humans Lactation
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A knowledge-based approach to automated planning for hepatocellular carcinoma.

Journal of applied clinical medical physics Nov 15, 2017
PURPOSE: To build a knowledge-based model of liver cancer for Auto-Planning, a function in Pinnacle, which is used as an automated inverse intensity modulated radiation therapy (IMRT) planning system.
Radiotherapy, Intensity-Modulated Organs at Risk Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Humans Liver Neoplasms Carcinoma, Hepatocellular Knowledge Bases
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Sex differences in drugs: the development of a comprehensive knowledge base to improve gender awareness prescribing.

Biology of sex differences Oct 24, 2017
Humans Sex Characteristics Female Drug Prescriptions Male Databases, Pharmaceutical Knowledge Bases
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The Liver Toxicity Knowledge Base (LKTB) and drug-induced liver injury (DILI) classification for assessment of human liver injury.

Expert review of gastroenterology & hepatology Oct 9, 2017
Drug-induced liver injury (DILI) is challenging for drug development, clinical practice and regulation. The Liver Toxicity Knowledge Base (LTKB) provides essential data for DILI study. Areas covered: The LTKB provided various types of data that can b...
Severity of Illness Index Incidence Hep G2 Cells Liver Structure-Activity Relationship Molecular Structure Animals Risk Assessment Drug Discovery Humans Databases, Factual Chemical and Drug Induced Liver Injury Toxicogenetics Pharmaceutical Preparations Knowledge Bases Toxicology
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Evaluation of an automated knowledge-based textual summarization system for longitudinal clinical data, in the intensive care domain.

Artificial intelligence in medicine Sep 27, 2017
OBJECTIVES: To examine the feasibility of the automated creation of meaningful free-text summaries of longitudinal clinical records, using a new general methodology that we had recently developed; and to assess the potential benefits to the clinical ...
Patient Discharge Summaries Time Factors Continuity of Patient Care Critical Care Health Status Intensive Care Units Tertiary Care Centers Humans Natural Language Processing Electronic Health Records Medical Informatics Retrospective Studies Feasibility Studies Automation Length of Stay Knowledge Bases
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