2024
DOI: 10.1002/jdd.13722
|View full text |Cite
|
Sign up to set email alerts
|

Implementation of machine learning models as a quantitative evaluation tool for preclinical studies in dental education

Aybeniz Oguzhan,
Cem Peskersoy,
Elif Ercan Devrimci
et al.

Abstract: Purpose and objectiveObjective, valid, and reliable evaluations are needed in order to develop haptic skills in dental education. The aim of this study is to investigate the validity and reliability of the machine learning method in evaluating the haptic skills of dentistry students.Materials and methodsOne‐hundred fifty 6th semester dental students have performed Class II amalgam (C2A) and composite resin restorations (C2CR), in which all stages were evaluated with Direct Observation Practical Skills forms. T… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Publication Types

Select...

Relationship

0
0

Authors

Journals

citations
Cited by 0 publications
references
References 44 publications
0
0
0
Order By: Relevance

No citations

Set email alert for when this publication receives citations?