Comparing Gradient Boosting and Neural Networks in Predicting Age Based on Coronal Pulp Height from Panoramic Radiographs – A Retrospective Radiographic Study

Comparing Gradient Boosting and Neural Networks in Predicting Age Based on Coronal Pulp Height from Panoramic Radiographs – A Retrospective Radiographic Study

Background: Age estimation is the process of establishing an individual’s age using biological indicators. It is extremely important in many domains, including forensic science, anthropology, and legal medicine. Objectives: To compare the predictive accuracy and efficacy of gradient boosting and neu...

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Bibliographic Details
Main Authors: Kishorwara Ramamoorthy, Devika S. Pillai, Pradeep Kumar Yadalam, Prasanthi Sitaraman
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2025-01-01
Series:Journal of Indian Academy of Oral Medicine and Radiology
Subjects:
anthropology
area under curve
forensic dentistry
gradient boosting
neural networks
radiographs
roc curve
Online Access:https://journals.lww.com/10.4103/jiaomr.jiaomr_332_24
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