Use of Decision Tree Model for Software Development in the Endodontics Area
DOI:
https://doi.org/10.18264/eadf.v16i1.2689Palabras clave:
Endodontic treatment, Failure, Decision treeResumen
Describir el proceso de desarrollo de un programa informático destinado a ayudar a estudiantes y profesionales de odontología mediante el uso de un árbol de decisión. Se trata de un estudio experimental con una metodología mixta (cualitativa y cuantitativa) que ha utilizado la experiencia profesional, la evidencia científica y un cuestionario aplicado a un grupo de 23 expertos (muestra de conveniencia) para el diseño de la aplicación. Se han incluido los atributos con una concordancia superior al 60% para el diagnóstico y la indicación de procedimientos clínicos relacionados con el retratamiento endodóntico. Se empleó una plataforma colaborativa gratuita para desarrollar el árbol de decisión. El estudio fue aprobado por un Comité de Ética de la Investigación. El lenguaje de programación utilizado fue JavaScript; las interfaces de usuario, la biblioteca React Native, y el backend, NodeJS. El código fuente se depositó en el Instituto Nacional de la Propiedad Industrial (INPI) con el número BR512024003192-8, bajo la marca registrada Endorett. El uso de la metodología del árbol de decisión para apoyar a los profesionales sanitarios constituye una herramienta importante para mejorar la eficiencia operativa de los servicios de salud, con un enfoque ágil y seguro.
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ABHISHEK, S. Modern JavaScript frameworks and JavaScript's future as a full-stack programming language. Journal of Artificial Intelligence and Cloud Computing, vol. SRC/JAICC-156, 2023. DOI: https ://doi.org/10.47363/JAICC/2023(2)144
BERUTTI, E.; CASTELLUCCI, A. Nonsurgical root canal retreatment . In: PETERS, O. (ed.). The guidebook to molar endodontics. Berlin: Springer , 2017. DOI: https ://doi.org/10.1007/978-3-662-52901-0_9
BRASIL. Ministério da Saúde. Portaria GM/MS nº 3.232, de 1º de março de 2024. Programa SUS Digital.https://bvs.saude.gov.br/bvs/saudelegis/gm/2024/prt3232_04_03_2024.html
BRIDGES, A. C. T. et al. Decision tree for ozone therapy in joint and muscle pain: scoping review. Current Nursing Journal In Derme, 2023, 97 (2): e023067.
BRITO, H., GOMES, A., SANTOS, A. JavaScript in mobile applications: React native vs ionic vs Native Script vs native development. In: Iberian Conference on Information Systems and Technologies. 2018. p. 1-6. Available at: https://ieeexplore.ieee.org/document/8399283 . DOI: https ://doi.org/10.23919/CISTI.2018.8399283
DA ROCHA, M. P. et al. Retreatment non-surgical endodontic treatment : case report. Dental Journal of the City University of São Paulo, 2017, 28(3): 270.
DINIZ, T. M., SILVA, R. M. R., NETO, J. B. C. Machine learning in prescription for individualized aesthetic treatments. Technological Interface Magazine, 2021, 18(1): 92-103.
ERICKSON, B. J. et al. Machine learning for medical imaging .Radiographics, 2017, 37: 505-515.
GARCIA, S. C. The use of decision trees in knowledge discovery in the health field. 2003. Available at: http://lume.ufrgs.br
GOLENHOFEN, N. et al. The Use of a Mobile Learning Tool by Medical Students in Undergraduate Anatomy and its Effects on Assessment Outcomes. Anat Sci Educ [Internet].2019, 13(1): 8–18. DOI: https://doi.org/10.1002/ase.1878
HORI, G. M. R. et al. Success after retreatment endodontic: importance of cleaning and disinfecting the root canal system. Archives of Health Investigation, 2021, 10(8): 1212-1216.
LEE, J., JEONG, S., CHOI, S. Predictive data mining for diagnosis periodontal disease : the Korea National Health and Nutrition Examination Surveys (KNHANES V and VI) from 2010 to 2015 . Journal of Public Health Dentistry , 2018, 79(1): 44-52.
MACEDO, I. L., NETO, I. M. Retreatment endodontic : therapeutic option for endodontic failure / Endodontic retreatment : therapeutic option of endodontic failure. Brazilian Journal of Health Review, 2018, 1(2): 421-431.
MAIA, C. M., GOMES, J. C. M., CHAGAS, L. D. View of the study on the use of decision trees in the health area. Proceedings of the II Computing Meeting of Western Potiguar, 2017, 1(1).
MARQUES, M. C. Periapical lesions after endodontic treatment: a literature review. Unifacvest University Center, 2020.
MAZZOCCHI, A. C. D., TRAIANO, A. P. P. V. Artificial intelligence: a futuristic concept in dental diagnosis. Electronic Multidisciplinary Journal, 2024. DOI: https://doi.org/10.69876/rv.v17i3.288
NETO, C. Artificial intelligence and new technologies in health: challenges and perspectives. Brazilian Journal of Development, 2020, 6(2): 9431-9445.
NOBREZA, A. M. DA S., BORGES, Á. H., BORBA, A. M. et al. Aplicativo Móvel como Ferramenta Auxiliar no Aprendizado de Endodontia: Relato de Experiência. Revista de Ensino, Educação e Ciências Humanas, [S. l.], 2024, 25(5): 590–596. DOI: 10.17921/2447-8733.2024v25n5p590-596
PEREIRA, K. F. S. et al. The use of cone beam tomography in the diagnosis and treatment of endodontic failure – case report. UningáJournal, 2016, 49(1).
PEREIRA, L. A. Retreatment endodontic : a literature review of the last 18 years. E-Acadêmica, 2022, 3(1): e123197.
RIBEIRO, A. V. et al. Classification of anxious individuals by decision tree. Presence Magazine, 2024, 10(22): 64-75.
SHOAIB, L. A. et al. Utilizing decision tree machine learning model to map dental students’ preferred learning styles with suitable instructional strategies. BMC Med Educ 24, 2024, 58. DOI: https://doi-org.ez83.periodicos.capes.gov.br/10.1186/s12909-023-05022-5
SILVA, A. M. C. da. et al. Anatomyalive: aplicativo móvel para facilitar o ensino-aprendizagem de anatomia de cabeça e pescoço aplicada à Odontologia. Revista Da ABENO, 2024, 24(1): 2201. DOI:
https://doi.org/10.30979/revabeno.v24i1.2201
SILVA, B. G., GOMES, S. M. B., OLIVEIRA, J. R. B. The use of intraradicular retainers after endodontic treatment. Research, Society and Development , 2023, 12(13).
SOUSA, V. C. et al. Treatment of endodontic failure / treating endodontic failure. Central Brazil Dental Journal , 2018, 27(80): 44-48.
TAVARES, L. G. et al. Undergraduate dentistry students’ perception of difficulties regarding endodontic treatment. Aust. Endod. J., 2019, 45(1): 98-105. DOI: https://doi.org/10.1111/aej.12290
WONG, R. Conventional endodontic failure and retreatment. Dental Clinics of North America , 2004, 48(1): 265-289.
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