1 / 5

Clinical Genomics: Standards for Knowledge Representation

Discover the importance of a tiered approach to knowledge representation in clinical genomics, leading to consistent standards. Learn how this model enhances extensibility, reusability, and interoperability in the field. Explore the significance of HL7 Clinical Genomics SIG in shaping impactful standards.

willieharris
Télécharger la présentation

Clinical Genomics: Standards for Knowledge Representation

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Clinical Genomics:Standards for Knowledge Representation By Peter L. Elkin, MD, FACP Professor of Medicine Mayo Clinic, College of Medicine

  2. Core Classes of Knowledge Phenotype Haplotype Genotype Proteome-type Metabolome-type

  3. Aggregations of Classes Sequence Data Microarray Data Core Proteomic Data Metabolomic Data Pharmacogenomic Data

  4. Clinical Genomics Applications Clinical Research Personalized Medicine Aggregations Basic Research Core Medical Education Novel Drug Discovery

  5. A Tiered approach to Knowledge Representation for Clinical Genomics Data is Sensible The approach will lead to a consistent Domain Model for Clinical Genomics Standards built on such a model will be extensible, reusable and interoperable HL7 Clinical Genomics SIG => Standards that Matter Conclusions

More Related