You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
{{ message }}
This repository has been archived by the owner on Dec 13, 2019. It is now read-only.
Is there a trick to using phenopacket to model patient's information at population level? E.g. Cohort of 150 colorectal carcinoma patients with hypertension phenotype?
The text was updated successfully, but these errors were encountered:
This is a great example.
No tricks need to be involved. Here the entity would be the cohort. We
do not have much documentation on this at the moment. Would the cohort
be represented elsewhere with its own URI, or do you need to represent
all details of the cohort within the phenopacket?
Hi,
I do not have the definite description of the cohort yet. I'm exploring how best to use phenopacket to model patient's record where I may or may not have the individual's description, but patient's confidentiality will be a factor in capturing some of the data. Given that there will be mulitple complex phenotypes within the same cohort at different frequencies too (that's why lumping the entity to be the cohort entity may be a bit of a work-around? - can the same cohort entity be associated with different phenotypes at a different probability/frequency?).
Documentation on a use case will be great, will be happy to contribute. Does Monarch have a similar scenario?
Thank you.
Sign up for freeto subscribe to this conversation on GitHub.
Already have an account?
Sign in.
Is there a trick to using phenopacket to model patient's information at population level? E.g. Cohort of 150 colorectal carcinoma patients with hypertension phenotype?
The text was updated successfully, but these errors were encountered: