Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Acheiving United Nations' SDG3 Through Empowering Health Artificial Intelligence on Resource-Constrained Mobile Devices Without Connectivity

Bibliographic Data

ID19353848
AuthorsTianyi Yang (0009-0006-8890-1357, Graduate Researcher, McGill University), Shaoshan Liu (0000-0002-5132-8351, ACM U.S. Technology Policy Committee and U.S. National Academy of Public Administration's Technology Leadership Panel), Xue Liu (0000-0001-9406-2744, McGill University)
Year2023
Volume52
Issue3
Pages6-9
Publication date2023-12-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueACM SIGCAS Computers and Society (JOURNAL)
Journal identifiersISSN: 0095-2737 • E-ISSN: 2167-3055
PublisherAssociation for Computing Machinery (ACM) (PUBLISHER)
DOI10.1145/3656033.3656034
OpenAlexW4393385432
LanguageEN
References cited6

At least half of the world's population do not have access to essential health services. Worse, large numbers of households are being pushed into poverty because they must pay for health care out of their own pockets

Business · Computer network · Resource (disambiguation) · Bacillus and Francisella bacterial research · Computer Science · Poxvirus research and outbreaks · Viral Infections and Outbreaks Research

Citation velocityhistorical
Highly citedNo

Tools

Open DOI
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae