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

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Issued Date

2025-01-01

Resource Type

Conference Paper

DOI

10.1109/CyberSciTech68397.2025.00073

Scopus ID

2-s2.0-105032638833

Journal Title

Proceedings 2025 IEEE Cyber Science and Technology Congress Cyberscitech 2025

Start Page

493

End Page

499

Rights Holder(s)

SCOPUS

Bibliographic Citation

Proceedings 2025 IEEE Cyber Science and Technology Congress Cyberscitech 2025 (2025) , 493-499

Suggested Citation

State-Level Oral Health Goal Achievement Prediction Using Machine Learning and Programmatic Factors. Proceedings 2025 IEEE Cyber Science and Technology Congress Cyberscitech 2025 (2025) , 493-499. 499. doi:10.1109/CyberSciTech68397.2025.00073 Retrieved from: https://hdl.handle.net/20.500.14740/55391

Title

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

Author's Affiliation

Srinakharinwirot University

Corresponding Author(s)

Intarapak S.

Other Contributor(s)

Srinakharinwirot University

Keyword(s)

Computer Science
 Mathematics
 Decision Sciences

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Organizational Units

Journal Issue

URI

https://hdl.handle.net/20.500.14740/55391

Collections

Scopus: Year 2025

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Review

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