Developing a hybrid machine learning model to predict treatment time duration as a workflow regulation tool in public and private dental clinics

Developing a hybrid machine learning model to predict treatment time duration as a workflow regulation tool in public and private dental clinics

Abstract This study aimed to design a desktop application that implements machine learning algorithms to predict dental treatment time durations, assess the accuracy of the model, and assess its clinical efficiency. The Python programming language was used to develop software that uses Machine Learn...

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Bibliographic Details
Main Authors: Mohammed A. Mahmood, Khadija M. Ahmed, Truska F. Majeed, Rukhosh H. Abdalrahim, Mardin O. Rashid
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
Subjects:
Machine learning
Predictions
Treatment duration
Workflow regulation
Dental
Online Access:https://doi.org/10.1038/s41598-025-16200-4
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https://doi.org/10.1038/s41598-025-16200-4

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