Journal
CARING IS SHARING-EXPLOITING THE VALUE IN DATA FOR HEALTH AND INNOVATION-PROCEEDINGS OF MIE 2023
Volume 302, Issue -, Pages 1073-1074Publisher
IOS PRESS
DOI: 10.3233/SHTI230351
Keywords
Bioinformatics; Exposome; precision medicine; SNOMED-CT; Human Phenotype Ontology
Ask authors/readers for more resources
This study used text mining techniques to map ontology terms related to human phenotypes and exposome factors, facilitating the integration of exposomic and clinical data.
Human phenotypes define the healthy or diseased status of an individual and they arise from the complex interactions between environmental and genetic factors. The whole set of human exposures constitute the human exposome. These exposures have multiple sources including physical and socioeconomic factors. In this manuscript we have used text mining techniques to retrieve 1295 and 1903 Human Phenotype Ontology terms associated with these exposome factors and we have subsequently mapped 83% and 90% of the HPO terms respectively) into SNOMED as a clinically actionable code. We have developed a proof-of-concept approach to facilitate the integration of exposomic and clinical data
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available