Toward co-design of an AI solution for detection of diarrheal pathogens in drinking water within resource-constrained contexts

• Bioinformatics
• biomathematics

Identifier
DOI	https://doi.org/10.17026/dans-2bd-ufvk
PID	https://nbn-resolving.org/urn:nbn:nl:ui:13-p4-fssn
Metadata Access	https://easy.dans.knaw.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:easy.dans.knaw.nl:easy-dataset:248794

Provenance
Creator	Hall Clifford, R.
Publisher	Data Archiving and Networked Services (DANS)
Contributor	Hall Clifford, R.; Rachel Hall Clifford (Emory University)
Publication Year	2022
Rights	info:eu-repo/semantics/openAccess; License: http://creativecommons.org/licenses/by-nc-sa/4.0/; http://creativecommons.org/licenses/by-nc-sa/4.0/
OpenAccess	true

Representation
Resource Type	Image
Format	image/jpeg
Discipline	Other