Use of Decision Tree Model for Software Development in the Endodontics Area

Authors

DOI:

https://doi.org/10.18264/eadf.v16i1.2689

Keywords:

Endodontic treatment, Failure, Decision tree

Abstract

To describe the development process of software to assist dental students and professionals using a decision tree. This is an experimental study with a mixed methodology (qualitative and quantitative) that used professional experience, scientific evidence, and a questionnaire administered to a group of 23 experts (convenience sample) to design the application. Only attributes with more than 60% agreement for diagnosis and indication of clinical procedures related to retreatment were considered. endodontic were included. A free collaborative platform was used to develop the decision tree. The study was approved by a Research Ethics Committee. The programming language used was JavaScript , the user interfaces were the ReactNative library , and the backend was NodeJS . The source code was deposited with the National Institute of Industrial Property under number BR512024003192-8 under the Endoretttrademark .Using the decision tree methodology to assist healthcare professionals is an important tool for improving the operational efficiency of healthcare services with an agile and safe approach.

 

Keywords: Endodontic treatment. Failure. Decision tree.

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Published

2026-04-07

How to Cite

Arantes, R., Timoteo, G. L., Leite, K. T. F., Silva, C. V. V. da, Castro, A. J. R. de, & Souza, M. I. de C. de. (2026). Use of Decision Tree Model for Software Development in the Endodontics Area. EaD Em Foco, 16(1), e2689. https://doi.org/10.18264/eadf.v16i1.2689

Issue

Vol. 16 No. 1 (2026)

Section

Estudos de Caso

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