AIMC Topic: Knowledge Bases

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Artificial intelligence in drug discovery: what is realistic, what are illusions? Part 2: a discussion of chemical and biological data.

Drug discovery today Jan 27, 2021
'Artificial Intelligence' (AI) has recently had a profound impact on areas such as image and speech recognition, and this progress has already translated into practical applications. However, in the drug discovery field, such advances remains scarce,...
Knowledge Bases Translational Science, Biomedical Biomedical Research Drug Discovery Humans Artificial Intelligence
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Knowledge Extraction of Cohort Characteristics in Research Publications.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 25, 2021
When healthcare providers review the results of a clinical trial study to understand its applicability to their practice, they typically analyze how well the characteristics of the study cohort correspond to those of the patients they see. We have pr...
Databases, Factual Research Design Knowledge Bases Humans Cohort Studies Publications Decision Support Systems, Management Artificial Intelligence Health Personnel
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A protocol for adding knowledge to Wikidata: aligning resources on human coronaviruses.

BMC biology Jan 22, 2021
BACKGROUND: Pandemics, even more than other medical problems, require swift integration of knowledge. When caused by a new virus, understanding the underlying biology may help finding solutions. In a setting where there are a large number of loosely ...
Proteomics Internet Workflow Pandemics SARS-CoV-2 COVID-19 Genomics Humans Genome, Viral Viral Proteins Coronavirus Coronavirus Infections Knowledge Bases
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Extracting and inserting knowledge into stacked denoising auto-encoders.

Neural networks : the official journal of the International Neural Network Society Jan 20, 2021
Deep neural networks (DNNs) with a complex structure and multiple nonlinear processing units have achieved great successes for feature learning in image and visualization analysis. Due to interpretability of the "black box" problem in DNNs, however, ...
Knowledge Bases Signal-To-Noise Ratio Computer Security Deep Learning
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Unsupervised cross-domain named entity recognition using entity-aware adversarial training.

Neural networks : the official journal of the International Neural Network Society Dec 31, 2020
The success of neural network based methods in named entity recognition (NER) is heavily relied on abundant manual labeled data. However, these NER methods are unavailable when the data is fully-unlabeled in a new domain. To address the problem, we p...
Unsupervised Machine Learning Knowledge Bases
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Transforming the study of organisms: Phenomic data models and knowledge bases.

PLoS computational biology Nov 24, 2020
The rapidly decreasing cost of gene sequencing has resulted in a deluge of genomic data from across the tree of life; however, outside a few model organism databases, genomic data are limited in their scientific impact because they are not accompanie...
Gene-Environment Interaction Phenomics Models, Statistical Phenotype Animals Humans Models, Genetic Ecosystem Semantics Databases, Genetic Knowledge Bases Computational Biology Classification Models, Biological
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From electronic health records to terminology base: A novel knowledge base enrichment approach.

Journal of biomedical informatics Nov 21, 2020
Enriching terminology base (TB) is an important and continuous process, since formal term can be renamed and new term alias emerges all the time. As a potential supplementary for TB enrichment, electronic health record (EHR) is a fundamental source f...
Knowledge Bases Semantics China Electronic Health Records Natural Language Processing
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Learning Bayesian networks from demographic and health survey data.

Journal of biomedical informatics Nov 17, 2020
Child mortality from preventable diseases such as pneumonia and diarrhoea in low and middle-income countries remains a serious global challenge. We combine knowledge with available Demographic and Health Survey (DHS) data from India, to construct Cau...
Child Sample Size Knowledge Bases Demography Bayes Theorem Humans Algorithms
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Development of an intelligent knowledge base for identification of accident causes based on Fu et al.'s model.

International journal of occupational safety and ergonomics : JOSE Nov 6, 2020
In this study, an intelligent knowledge base (IKB) is developed based on a model developed by Fu et al. for identification of accident causes, which may play a significant role in preventing accidents. This IKB has been generated using eight sample a...
Knowledge Bases Humans Accidents, Occupational
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PharmGKB Tutorial for Pharmacogenomics of Drugs Potentially Used in the Context of COVID-19.

Clinical pharmacology and therapeutics Oct 24, 2020
Pharmacogenomics (PGx) is a key area of precision medicine, which is already being implemented in some health systems and may help guide clinicians toward effective therapies for individual patients. Over the last 2 decades, the Pharmacogenomics Know...
Precision Medicine Pharmacogenetics Pharmacogenomic Testing Humans COVID-19 Drug Treatment COVID-19 Gene Ontology Antiviral Agents Medication Therapy Management Knowledge Bases
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