Ontological Modelling of T2DM Phenotype using Phenotype Manager (PhenoMan)
We modelled the algorithm for determining Type 2 Diabetes Mellitus (T2DM) cases presented by PheKB.org using Phenotype Manager (PhenoMan).
LHA ID: 81CQ04CX4Q-9
Modelling analysis
Projects: LHA - Leipzig Health Atlas, Onto-Med Research Group, SMITH - Smart Medical Information Technology for Healthcare
Investigation: Ontology-based Phenotyping
Study: Ontological Modelling of Type 2 Diabetes Mellitus (T2DM) Phenotype
Assay position:
Biological problem addressed: Model Analysis Type
Human Diseases: diabetes mellitus
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Created: 9th Mar 2020 at 15:18
Last updated: 10th Mar 2020 at 12:00
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The Leipzig Health Atlas (LHA) is an alliance of medical ontologists, medical systems biologists and clinical trials groups to design and implement a multi-functional and quality-assured atlas. It provides models, data and metadata on specific use cases from medical research fields in which our team has scientific and clinical expertise.
Programme: i:DSem - Integrative Datensemantik in der Systemmedizin
Public web page: https://www.health-atlas.de
Start date: 1st Apr 2016
End date: 28th Feb 2021
Medical data routinely generated in everyday clinical practice is processed and made available to medical research in a standardized form. Patients benefit from reliable research results, more precise diagnoses and better treatments. In order to link data from care and research, the participating university hospitals in Aachen, Bonn, Essen, Halle, Hamburg, Jena and Leipzig have established sustainable Data Integration Centers. The network partners Ruhr University Bochum, the Düsseldorf University ...
Programme: MII - Medical Informatics Initiative
Public web page: https://www.smith.care/
Start date: 1st Jan 2018
The Onto-Med Research Group conducts basic research in formal ontology, designs formal tools for constructing and managing ontologies and develops top level ontologies as well as domain and core ontologies for medicine, bio-medicine and biology, but also for other fields. The Onto-Med group uses an interdisciplinary approach, combining methods from logic, computer science, philosophy and cognitive linguistics. The Onto-Med group considers Formal Ontology as an evolving science which is concerned ...
Programme: This Project is not associated with a Programme
Public web page: http://www.onto-med.de
Start date: 1st Jan 2002
Submitter: Alexandr Uciteli
Studies: Ontological Modelling of Basic Eligibility Criteria, Ontological Modelling of Type 2 Diabetes Mellitus (T2DM) Phenotype, PhenoMan Evaluation with Synthetic FHIR Data
Resources: Basic Eligibility Criteria of an Example Blood Pressure Study, Ontological Modelling of T2DM Phenotype using Phenotype Manager (PhenoMan), PhenoMan Evaluation - Synthetic FHIR Data
Submitter: Alexandr Uciteli
Investigation: Ontology-based Phenotyping
Resources: Ontological Modelling of T2DM Phenotype using Phenotype Manager (PhenoMan)
Study type: Not specified
T2DM Phenotype Algorithm Specification Ontology (PASO) developed using PhenoMan
Creator: Alexandr Uciteli
Submitter: Alexandr Uciteli
Data file type: Not specified
Relationship type: Not specified
The tabular representation of the T2DM phenotype algorithm generated by PhenoMan using the T2DM ontology
Creator: Alexandr Uciteli
Submitter: Alexandr Uciteli
Data file type: Not specified
Relationship type: Not specified
Example Reasoner Report generated by PhenoMan
Creator: Alexandr Uciteli
Submitter: Alexandr Uciteli
Data file type: Not specified
Relationship type: Not specified
Example Reasoner Report generated by PhenoMan
Creator: Alexandr Uciteli
Submitter: Alexandr Uciteli
Data file type: Not specified
Relationship type: Not specified
Example Reasoner Report generated by PhenoMan
Creator: Alexandr Uciteli
Submitter: Alexandr Uciteli
Data file type: Not specified
Relationship type: Not specified
Example Reasoner Report generated by PhenoMan
Creator: Alexandr Uciteli
Submitter: Alexandr Uciteli
Data file type: Not specified
Relationship type: Not specified
Example Reasoner Report generated by PhenoMan
Creator: Alexandr Uciteli
Submitter: Alexandr Uciteli
Data file type: Not specified
Relationship type: Not specified
The decision tree was generated by PhenoMan in GraphML format and was processed using an automatic layout of the yEd Graph Editor. Nonetheless, it is also possible to generate the complete tree as image in PNG format.
Creator: Alexandr Uciteli
Submitter: Alexandr Uciteli
Data file type: Not specified
Relationship type: Not specified
https://orcid.org/0000-0001-9558-5352
Within the framework of the funding measure "i:DSem - Integrative Data Semantics in Systems Medicine", the Federal Ministry of Education and Research supports research projects that take up this approach. Interdisciplinary research projects are to create the basis so that in the future, for example, the attending physician will have application-oriented computer programmes at his or her disposal that will enable him or her to access all clinically relevant data. This should significantly support ...
Projects: LHA - Leipzig Health Atlas
The medical informatics initiative was created to close the gap between research and healthcare. All of Germany’s university hospitals have joined forces with research institutions, businesses, health insurers, and patient advocacy groups to create a framework that harnesses research findings to the direct benefit of patients. The German Federal Ministry of Education and Research (BMBF) is investing around 160 million euros in the programme through 2021. The digitisation of medicine is creating ...
Projects: Methodical Use Case PheP, SMITH - Smart Medical Information Technology for Healthcare, WP 1.5 of POLAR_MI (Polypharmacy, Drug Interactions, Risks) - Development of risk models, POLAR - Polypharmacy, Drug Interactions, Risks
Taxonomy URI: http://purl.obolibrary.org/obo/DOID_9351
Definitions: A glucose metabolism disease characterized by chronic hyperglycaemia with disturbances of carbohydrate, fat and protein metabolism resulting from defects in insulin secretion, insulin action, or both.
