Other names: FALLS
This ontology is about a falls prevention intervention record.
The FFFAP NAIF is a continuous, record-level audit of falls prevention prior to the hip fracture and post-falls care, for inpatient falls within acute, community and mental health hospital care in En ...
Dataset contains information on all patients admitted to hospital with hip fractures. Includes multiple aspects of patients' care including time to orthogeriatric assessment, time to surgery, assessm ...
The FLS-DB is a continuously-ascertained, record-level dataset which commenced in January 2016. It cvers England and Wales on assessment and treatment for osteoporosis and falls, across primary and s ...
We aimed to appraise the available literature on CHW based mHealth approaches for caregivers to improve knowledge and management about common childhood infections.
Prevention, detection and treatment of adult lung diseases including lung cancer in a poor, rural population in Tamil Nadu: feasibility study Chronic respiratory diseases (CRDs) in low resource settin ...
CDC WONDER, developed by the Centers for Disease Control and Prevention (CDC), is an integrated information and communication system for public health. It allows you to access wide-ranging online data ...
The purpose of this ontology is to develop a model for regional healthcare system interoperability and information exchange quantification (measured by the electronic health information exchange (eHIE ...
Longitudinal routine data for 128,000 admissions to hospital as an emergency from a care home; including treatments, interventions, ITU admissions and outcomes. Deeply phenotyped longitudinal data in ...
This Fish Ontology is an ontology created as how the author views the fish structure following the book "The Diversity of Fishes: Biology, Evolution and Ecology" as the main reference, which covers on ...
One of the key approaches to containing COVID-19 has been self-quarantine and social distancing, which poses multiple challenges especially in a Pakistani community which follows strong cultural and s ...
This ontology is about human pseudogenes, extending the existing SO framework to incorporate additional attributes. Relationships between pseudogenes and segmental duplications are defined in this sta ...
This ontology is used to describe the experimental conditions within cognitive/behavioral experiments, primarily in humans. CogPO is a framework for the formal representation of the cognitive paradigm ...
CDC is a national health institute of the United States of America. Data.CDC.gov is a repository of all available data sets with a Socrata Open Data API. Available categories include: Administrative, ...
This ontology describes commonly contoured (anatomical and treatment planning) structures for radiation treatment planning. 22000 structures labels (created over a 16 years period in our radiation dep ...
This ontology is designed to represent the experimental conditions applied to zebrafish and has been developed to facilitate experiment condition annotation at ZFIN.
PMD is an ontology that represents classification and related information of Persian medicine diseases. Persian medicine also known as Iranian traditional medicine is one of famous and most ancient fo ...
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 ...
The Epilepsy Ontology (EPO) is an assembly of structured knowledge on various aspects of epilepsy, developed according to basic formal ontology (BFO) and Open Biological and Biomedical Ontology (OBO) ...
The International Classification of External Causes of Injury (ICECI) was created to enable the classification of external causes of injuries. It is designed to help researchers and prevention practit ...
This ontology is used to model scientific investigation, especially Genome-Wide Association Studies (GWAS), to discover genetic susceptibility factors to disease, such as Diabetes. It models the genet ...