Other names: STO-DRAFT
The Stroke Ontology (STO) covers the knowledge domain of stroke based on expert views and translational continuum of stroke research.
Stroke ontology
The Guideline for Minimum Information Stroke Research and Clinical Data Reporting (GMISR) is a standardised reporting guideline for stroke research and clinical data reporting.
The acute organisational audit dataset includes the quality of stroke service organisation in acute settings, including staffing levels, acute care processes, TIA services, access to specialist suppor ...
REGARDS is an observational study of risk factors for stroke in adults 45 years or older. 30,239 participants were recruited between January 2003 and October 2007. They completed a telephone intervi ...
This continuously ascertained, record-level dataset audit collects information on stroke patients in England, Wales and Northern Ireland in acute hospital, and follows recovery, rehabilitation, and ou ...
Domain ontology for National Institutes of Health Stroke Scale (NIHSS). Scores range from 0-42. Patients are given more points for greater deficiencies. A score of 0 indicates that the test is normal.
Cancer diagnoses before and after hospitalised cerebrovascular events. A dataset of more than 16,000 stroke patients including granular ethnicity, multi-morbidity, serial physiology, blood biomarkers ...
NeuMORE aims to facilitate knowledge acquisition from existing sources via ontological techniques. It will assist PR researchers in better predicting stroke survivors' neural motor functional recovery ...
The CTO-NDD stands for Clinical Trial Ontology-Neurodegenerative Diseases, which was built with the purpose of organizing the knowledge domain of clinical trials in neurodegeneration field. This resou ...
This is the second draft of Funder Metadata specification for the GO FAIR project. It is being used as the basis of a more complete specification for the FAIR Funder Implementation Study.
The Parkinson's Disease Ontology (PDO) was created to represent and model the Parkinson's Disease knowledge domain. This ontology with a covers major biomedical concepts from molecular to clinical fea ...
Large biomedical simulation initiatives, such as the Virtual Physiological Human (VPH), are substantially dependent on controlled vocabularies to facilitate the exchange of information, of data and of ...
An application ontology for the domain of Sleep Medicine.
To link and harmonize different knowledge repositories with respect to isotopic data, we propose an ISO-FOOD ontology as a domain ontology for describing isotopic data within Food Science. The ISO-FOO ...
Ontology for Newborn Screening Follow-up and Translational Research (ONSTR) is an application ontology covering the domain of newborn screening, follow-up and translational research pertaining to pati ...
The Mental Functioning Ontology is an ontology for mental functioning, including mental processes such as cognition and traits such as intelligence, and related diseases and disorders. It is developed ...
The Flora Phenotype Ontology is a domain ontology for the description of plant characters. FLOPO contains more than 25000 phenotype and traits classes, the creation of FLOPO is data-driven: For each t ...
The eNanoMapper ontology covers the full scope of terminology needed to support research into nanomaterial safety. It builds on multiple pre-existing external ontologies such as the NanoParticle Ontol ...
The EuPath ontology is an application ontology developed to encode our understanding of what data is about in the public resources developed and maintained by the Eukaryotic Pathogen Database Bioinfor ...
BioGrid Australia Limited operates a federated data sharing platform for collaborative translational health and medical research providing a secure infrastructure that advances health research by link ...