Predictive Analytics of Dental and Oral Health Using Dempster Shafer Parameters at Pelita Bunda Clinic
DOI:
https://doi.org/10.55208/ebmtj.v2i1.138Keywords:
Predictive Analytics, Dental and Oral Health, Dempster-ShaferAbstract
This study aims to provide a precise and analytical approach to predicting dental and oral health. This condition will be achieved by utilizing the Dempster-Shafer parameters at the Pelita Bunda Clinic. Maintaining dental and oral health is crucial for overall well-being. Nevertheless, making treatment decisions is frequently challenging due to aspects that need clarification and cannot be measured. The Dempster-Shafer method is a highly efficient approach for handling situations with uncertainty. This strategy can employ data in the form of hypotheses and leverage probability theory to amalgamate and analyze unclear information. The study demonstrates the effectiveness of the analytical prediction approach for dental and oral health utilizing the Dempster-Shafer parameters at Pelita Bunda Clinic in forecasting patients' dental and oral health state. Employing this approach can assist dentists in making treatment decisions with greater accuracy and efficiency.
References
Alfaiz, M., Fitri, I., & Nathasia, N. D. (2020). Expert System of Early Detection of Arthritis with Web-Based Certainte Fector Method: Expert System of Early Detection of Arthritis with Web-Based Certainte Fector Method. Jurnal Mantik, 3(4), 400-411.
Altuntas, S., Erdogan, Z., & Dereli, T. (2020). A clustering-based approach for the evaluation of candidate emerging technologies. Scientometrics, 124, 1157-1177.
Bu'ulolo, E., & Sianturi, F. A. (2020). Diagnose Expert System Dental Disease In Humans Method Using Dempster Shafer. Journal of Computer Networks, Architecture and High Performance Computing, 2(2), 227-230.
Damayanti, A. Y., Marfu’ah, N., Salamah, S., & Husna, F. (2022, September). Relationship between Vitamin A and Vitamin C intake on Dental Caries. In U-Go Healthy 2020: Proceedings of the U-Go Healthy International Conference, U-Go Healthy 2020, 29 March 2020, Pacitan, East Java, Indonesia (p. 190). European Alliance for Innovation.
Djong, A. M., & Widjaja, M. (2023, December). A Web-Based Expert System for Diagnosing Cervical Cancer Using Dempster-Shafer Method. In 2023 7th International Conference on New Media Studies (CONMEDIA) (pp. 243-249). IEEE.
Fu, Y., Chen, X., Liu, Y., Son, C., & Yang, Y. (2022). Gearbox fault diagnosis based on multi-sensor and multi-channel decision-level fusion based on SDP. Applied Sciences, 12(15), 7535.
Gunawan, A. (2022). Application of the Certainty Factor Method in the Dental Disease Expert System using the Addie Model. Journal of Computer Scine and Information Technology, 148-152.
Indra, D. (2020). Effect of Web-Based Early Diagnosis of Dental and Oral Diseases with Validity Level of Dentist Final Diagnosis in Public Health Center, Makassar, Indonesia. Indian Journal of Forensic Medicine & Toxicology, 14(2), 1728-1735.
Lubis, A. I., & Gaol, N. Y. L. (2022). Application of Certainty Factor Method in Intelligent System for Diagnosis of Periodontal Disease in Cigarette AddictsApplication of Certainty Factor Method in Intelligent System for Diagnosis of Periodontal Disease in Cigarette Addicts. Sinkron: jurnal dan penelitian teknik informatika, 6(4), 2272-2279.
Nugraheni, M., Nuraini, R., Tonggiroh, M., & Nurhayati, S. (2023). Expert System for Diagnosing Learning Disorders in Children Using the Dempster-Shafer Theory Approach. Sinkron: jurnal dan penelitian teknik informatika, 8(4), 2513-2525.
Paramadini, A. W., Aldo, D., Fathoni, M. Y., Nur, Y. S. R., & Adi, D. Q. (2024). EXPERT SYSTEM WITH DEMPSTER-SHAFER METHOD FOR EARLY IDENTIFICATION OF DISEASES DUE TO COMPLICATIONS SYSTEMIC INFLAMMATORY RESPONSE SYNDROME. Jurnal Teknik Informatika (Jutif), 5(3), 891-901.
Rimi, I. F., Arif, M. A. I., Akter, S., Rahman, M. R., Islam, A. S., & Habib, M. T. (2022). Machine learning techniques for dental disease prediction. Iran Journal of Computer Science, 5(3), 187-195.
Sari, A. K., Fitri, I., & Hidayatullah, D. (2021). IMPLEMENTATION OF DEMPSTER SHAFER IN EXPERT SYSTEM IN EARLY DIAGNOSIS OF DENTAL AND MOUTH DISEASES IN CHILDREN. Jurnal Ipteks Terapan, 15(1), 14-19.
Sidik, R., Fadlurrahman, M. A., & Winanti, M. B. (2020, July). Development of expert system for dental and oral diseases diagnose in certainty condition. In IOP Conference Series: Materials Science and Engineering (Vol. 879, No. 1, p. 012033). IOP Publishing.
Tang, X., Gu, X., Rao, L., & Lu, J. (2021). A single fault detection method of gearbox based on random forest hybrid classifier and improved Dempster-Shafer information fusion. Computers & Electrical Engineering, 92, 107101.
Utomo, H. P., Fitri, I., & Winarsih, W. (2020). Expert System of Diagnosis of Human Dental Diseases Using The Naïve Bayes Method: Expert System of Diagnosis of Human Dental Diseases Using The Naïve Bayes Method. Jurnal Mantik, 3(4), 373-382.
Waruwu, S. K., & Simangunsong, A. (2020). Application of Certainty Factor Method For Diagnosis Expert System Skin Diseases In Humans. Journal of Computer Networks, Architecture and High Performance Computing, 2(2), 191-194.
Downloads
Additional Files
Published
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
