Technology

Computer-Based Patient Record Ontology

"The (Computer-Based Patient Record) CPR ontology burrows its name from the Institute of Medicine term used to define medical records systems of the future and the important features that distinguish them for EHRs of today. In particular, it defines a set of requirements including a Record Content category, which states: Uniform core data elements, standardized coding systems and formats, a common data dictionary, and information on outcomes of care and functional status.

Disease Ontology

"The Disease Ontology has been developed as a standardized ontology for human disease with the purpose of providing the biomedical community with consistent, reusable and sustainable descriptions of human disease terms, phenotype characteristics and related medical vocabulary disease concepts through collaborative efforts of researchers at Northwestern University, Center for Genetic Medicine and the University of Maryland School of Medicine, Institute for Genome Sciences.

Genomic Clinical Decision Support Ontology

"The Genomic Clinical Decision Support (Genomic CDS) project aims to create and maintain an integrated, ontology-based knowledge base of clinically relevant pharmacogenomic information. This knowledge base is used to implement clinical decision support algorithms for improving quality of care, e.g., for providing drug dosage recommendations and comparisons of the efficacy of different treatment options."

Foundational Model of Anatomy

"The Foundational Model of Anatomy Ontology (FMA) is an evolving computer-based knowledge source for biomedical informatics; it is concerned with the representation of classes or types and relationships necessary for the symbolic representation of the phenotypic structure of the human body in a form that is understandable to humans and is also navigable, parseable and interpretable by machine-based systems. Specifically, the FMA is a domain ontology that represents a coherent body of explicit declarative knowledge about human anatomy.

Crop Ontology

"The Crop Ontology (CO) current objective is to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms. The concepts of the CO are being used to curate agronomic databases and describe the data.

International Classification of Primary Care

"ICPC (International Classification of Primary Care) is a clinical coding system. The first version of ICPC published in 1987 is referred to as ICPC-1. The version in the 1993 publication “The International Classification of Primary Care in the European Community: With a Multi-Language Layer” is known as ICPC-1. The second version from 1998 is referred to as ICPC-2. ICPC-2e is an electronic version from year 2000 of the revised and corrected chapters 10 and 11 of the ICPC-2 book.

"ICPC (International Classification of Primary Care) is a clinical coding system. The first version of ICPC published in 1987 is referred to as ICPC-1. The version in the 1993 publication “The International Classification of Primary Care in the European Community: With a Multi-Language Layer” is known as ICPC-1. The second version from 1998 is referred to as ICPC-2. ICPC-2e is an electronic version from year 2000 of the revised and corrected chapters 10 and 11 of the ICPC-2 book.

Ontology for General Medical Science

"The Ontology for General Medical Science (OGMS) is an ontology of entities involved in a clinical encounter. OGMS includes very general terms that are used across medical disciplines, including: 'disease', 'disorder', 'disease course', 'diagnosis', 'patient', and 'healthcare provider'. OGMS uses the Basic Formal Ontology (BFO) as an upper-level ontology. The scope of OGMS is restricted to humans, but many terms can be applied to a variety of organisms. OGMS provides a formal theory of disease that can be further elaborated by specific disease ontologies.

Ontology for Drug Discovery Investigations

"The goal of DDI project is to develop an ontology for the description of drug discovery investigations. The Pharmaceutical industry is an information based industry. The aim of DDI is to add value to the information generated in the drug pipeline by making the information easier to reuse, integrate, curate, retrieve, and reason with. DDI aims to follow to the Open Biomedical Ontologies Foundry (OBO) principles, to use relations laid down in the OBO Relation Ontology, and to be compliant with Ontology for biomedical investigations (OBI)."

NanoParticle Ontology for Cancer Nanotechnology Research

"Data generated from cancer nanotechnology research are so diverse and large in volume that it is difficult to share and efficiently use them without informatics tools. In particular, ontologies that provide a unifying knowledge framework for annotating the data are required to facilitate the semantic integration, knowledge-based searching, unambiguous interpretation, mining and inferencing of the data using informatics methods.

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