Machine Learning Model for Predicting Postoperative Pain in Cases of Irreversible Pulpitis
Supervised machine learning models demonstrated promising performance for predicting postoperative pain following endodontic treatment. Logistic Regression and Support Vector Machine algorithms presented the most consistent results, supporting their potential clinical application for personalised pain management.
Authors
- Ingrid Luiza Mendonça Cunha
- Pedro Felipe de Jesus Freitas
- Bianca Marques de Mattos de Araujo
- Leandro de Moura Martins
- Flares Baratto‐Filho
- Manoel Damião Sousa‐Neto
- Fernando José Herkrath
- Cristiano Miranda de Araujo
- Thalita de Paris Matos
- Emílio Carlos Sponchiado‐Júnior
Institutions
- Universidade de Ribeirão Preto (BR)
- Universidade de São Paulo (BR)
- Universidade Tuiuti do Paraná (BR)
- Universidade da Região de Joinville (BR)
- Universidade Federal do Amazonas (BR)
Publication Details
- Journal
- International Endodontic Journal
- Published
- 2026-02-01
- DOI
- https://doi.org/10.1111/iej.70106
- Primary Topic
- Endodontics and Root Canal Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
- Fundação de Amparo à Pesquisa e Inovação do Estado de Santa Catarina