The eXtensible ontology development (XOD) principles and tool implementation to support ontology interoperability
Ontologies are critical to data/metadata and knowledge standardization, sharing, and
analysis. With hundreds of biological and biomedical ontologies developed, it has become …
analysis. With hundreds of biological and biomedical ontologies developed, it has become …
[HTML][HTML] Patient safety classifications, taxonomies and ontologies: A systematic review on development and evaluation methodologies
Introduction Patient safety classifications/ontologies enable patient safety information
systems to receive and analyze patient safety data to improve patient safety. Patient safety …
systems to receive and analyze patient safety data to improve patient safety. Patient safety …
Ontological modeling and analysis of experimentally or clinically verified drugs against coronavirus infection
Our systematic literature collection and annotation identified 106 chemical drugs and 31
antibodies effective against the infection of at least one human coronavirus (including SARS …
antibodies effective against the infection of at least one human coronavirus (including SARS …
Ontological and bioinformatic analysis of anti-coronavirus drugs and their implication for drug repurposing against COVID-19
Coronavirus-infected diseases have posed great threats to human health. In past years,
highly infectious coronavirus-induced diseases, including COVID-19, SARS, and MERS …
highly infectious coronavirus-induced diseases, including COVID-19, SARS, and MERS …
Machine learning-based identification and rule-based normalization of adverse drug reactions in drug labels
Background Use of medication can cause adverse drug reactions (ADRs), unwanted or
unexpected events, which are a major safety concern. Drug labels, or prescribing …
unexpected events, which are a major safety concern. Drug labels, or prescribing …
Patient safety classifications, taxonomies and ontologies, Part 2: A systematic review on content coverage
Background Content coverage of patient safety ontology and classification systems should
be evaluated to provide a guide for users to select appropriate ones for specific applications …
be evaluated to provide a guide for users to select appropriate ones for specific applications …
Ontology-based systematical representation and drug class effect analysis of package insert-reported adverse events associated with cardiovascular drugs used in …
With increased usage of cardiovascular drugs (CVDs) for treating cardiovascular diseases, it
is important to analyze CVD-associated adverse events (AEs). In this study, we …
is important to analyze CVD-associated adverse events (AEs). In this study, we …
[HTML][HTML] Computational advances in drug safety: systematic and mapping review of knowledge engineering based approaches
Drug Safety (DS) is a domain with significant public health and social impact. Knowledge
Engineering (KE) is the Computer Science discipline elaborating on methods and tools for …
Engineering (KE) is the Computer Science discipline elaborating on methods and tools for …
ODAE: Ontology-based systematic representation and analysis of drug adverse events and its usage in study of adverse events given different patient age and …
Abstract Background Drug adverse events (AEs), or called adverse drug events (ADEs), are
ranked one of the leading causes of mortality. The Ontology of Adverse Events (OAE) has …
ranked one of the leading causes of mortality. The Ontology of Adverse Events (OAE) has …
Text preprocessing for improving hypoglycemia detection from clinical notes–A case study of patients with diabetes
L Zhou, T Siddiqui, SL Seliger, JB Blumenthal… - International journal of …, 2019 - Elsevier
Background and objective Hypoglycemia is a common safety event when attempting to
optimize glycemic control in diabetes (DM). While electronic medical records provide a …
optimize glycemic control in diabetes (DM). While electronic medical records provide a …