Publicado en línea: 18 ene 2024
Páginas: 32 - 38
DOI: https://doi.org/10.2478/aoj-1993-0024
Palabras clave
© 1993 Peter D. Grant et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
Computer-aided diagnosis of orthodontic anomalies is of particular interest in the screening of potential patients.
General practitioners and public dental health workers would find considerable benefit in a reliable automated system capable of reflecting the clinical assessments of orthodontists. This study investigates the application of an expert system (Xpert Rule™) to the assessment of treatment need using thirteen traits of malocclusion to construct a knowledge base. Decision trees were generated using a pruning option available with the expert system.
The results of the study are encouraging and suggest that an expert system is able to generate a useful clinical screening device.
Further modification of the knowledge base is required to provide a broader range of case types, particularly those of less common occurrence. lt is also suggested that the random aggregation of cases is not the most effective means of developing a knowledge base.