Predicting dental anxiety in young adults: classical statistical modelling approach versus machine learning approach.

Authors:
Ogwo C; Osisioma W; Okoye DI; Patel J.

Journal:
BMC Oral Health

Publication Year: 2024

DOI:
10.1186/s12903-024-04012-3

PMCID:
PMC10924339

PMID:
38461263

Journal Information

Journal Title: BMC Oral Health

Detailed journal information not available.

Publication Details

Subject Category: Dentistry, Oral Surgery & Medicine

Available in Europe PMC: Yes

Available in PMC: Yes

PDF Available: No

Transparency Score
3/6
50.0% Transparent
Transparency Indicators
Click on green indicators to view evidence text
Core Indicators
Data Sharing
Code Sharing
Evidence found in paper:

"Declarations Competing interestsThe authors declare no competing interests. Ethics approval and consent to participateApproval for the conduct and collection of the data for this study was obtained from Western Illinois University Institutional Review Board. All components and procedures of the study were conducted in accordance with the guidelines and regulations of the Western Illinois University Institutional Review Board. Informed consent was obtained from all subjects and their legal guardian(s) before responding to the questionnaires. Consent for publicationNot applicable. Competing interests The authors declare no competing interests."

Evidence found in paper:

"Funding This research was supported by Temple University Kornberg School of Dentistry and the Cary Kleinman Oral Health Sciences Research Fund."

Protocol Registration
Open Access
Paper is freely available to read
Additional Indicators
Replication
Novelty Statement
Assessment Info

Tool: rtransparent

OST Version: N/A

Last Updated: Aug 05, 2025