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Biological Ontologies

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A knowledge-based decision support system for inferring supportive treatment recommendations for diabetes mellitus.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: Diabetes Mellitus (DM) is a significant risk, mostly causing blindness, kidney failure, heart attack, stroke, and lower limb amputation. A Clinical Decision Support System (CDSS) can assist healthcare practitioners in their daily effort a...

mOWL: Python library for machine learning with biomedical ontologies.

Bioinformatics (Oxford, England)
MOTIVATION: Ontologies contain formal and structured information about a domain and are widely used in bioinformatics for annotation and integration of data. Several methods use ontologies to provide background knowledge in machine learning tasks, wh...

CTS2 OWL: Mapping OWL Ontologies to CTS2 Terminology Resources.

Studies in health technology and informatics
The advancement of healthcare towards P5 medicine requires communication and cooperation between all actors and institutions involved. Interoperability must go beyond integrating data from different sources and include the understanding of the meanin...

Ontology Development Kit: a toolkit for building, maintaining and standardizing biomedical ontologies.

Database : the journal of biological databases and curation
Similar to managing software packages, managing the ontology life cycle involves multiple complex workflows such as preparing releases, continuous quality control checking and dependency management. To manage these processes, a diverse set of tools i...

Matching biomedical ontologies with GCN-based feature propagation.

Mathematical biosciences and engineering : MBE
With an increasing number of biomedical ontologies being evolved independently, matching these ontologies to solve the interoperability problem has become a critical issue in biomedical applications. Traditional biomedical ontology matching methods a...

Analysis of Causal Relationships in Integrated Ontologies of Diseases, Phenotypes, and Radiological Diagnosis.

Studies in health technology and informatics
Biomedical ontologies encode knowledge in a form that makes it computable. The current study used the integration of three large biomedical ontologies-the Disease Ontology (DO), Human Phenotype Ontology (HPO), and Radiology Gamuts Ontology (RGO)-to e...

REDIRECT: Mapping Drug Prescriptions and Evidence from Biomedical Literature.

Studies in health technology and informatics
To enhance their practice, healthcare professionals need to cross-link various usage recommendations provided by heterogeneous vocabularies that must be retrieved and integrated conjointly. This is the aim of the Knowledge Warehouse / K-Ware platform...

Causal Associations Among Diseases and Imaging Findings in Radiology Reports.

Studies in health technology and informatics
This study explored the ability to identify causal relationships between diseases and imaging findings from their co-occurrences in radiology reports. A natural language processing (NLP) system with negative-expression filtering detected positive men...

An Ontology for Cardiothoracic Surgical Education and Clinical Data Analytics.

Studies in health technology and informatics
The development of an ontology facilitates the organization of the variety of concepts used to describe different terms in different resources. The proposed ontology will facilitate the study of cardiothoracic surgical education and data analytics in...

Pattern-Based Logical Definitions of Prenatal Disorders Grounded on Dispositions.

Studies in health technology and informatics
Biomedical ontologies define concepts having biomedical significance and the semantic relations among them. Developing high-quality and reusable ontologies in the biomedical domain is a challenging task. Pattern-based ontology design is considered a ...