Publication:
State-Level Oral Health Goal Achievement Prediction Using Machine Learning and Programmatic Factors

Simple item page
dc.contributor.correspondenceIntarapak S.
dc.contributor.otherSrinakharinwirot University
dc.date.accessioned2026-03-19T19:00:01Z
dc.date.issued2025-01-01
dc.date.issuedBE2568-01-01
dc.identifier.citationProceedings 2025 IEEE Cyber Science and Technology Congress Cyberscitech 2025 (2025) , 493-499
dc.identifier.doi10.1109/CyberSciTech68397.2025.00073
dc.identifier.scopus2-s2.0-105032638833
dc.identifier.urihttps://hdl.handle.net/20.500.14740/55391
dc.rights.holderSCOPUS
dc.subjectComputer Science
dc.subjectMathematics
dc.subjectDecision Sciences
dc.titleState-Level Oral Health Goal Achievement Prediction Using Machine Learning and Programmatic Factors
dc.typeConference Paper
dspace.entity.typePublication
oaire.citation.endPage499
oaire.citation.startPage493
oaire.citation.titleProceedings 2025 IEEE Cyber Science and Technology Congress Cyberscitech 2025
oairecerif.author.affiliationSrinakharinwirot University
swu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=105032638833&origin=inward

Files

Collections

Scopus: Year 2025