Analysis and Determination of the Main Causes of Periodontal Infections and Diseases Using Neutrosophic Cognitive Maps (NCM).

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Angie Estefanía Lema Atiencie
Elizabeth Moscoso Abad
Erika Quito
Daniela Calle

Abstract

The present study focuses on the analysis and determination of the main causes of infections and periodontal diseases through the use of Neutrosophic Cognitive Maps (NCM), an innovative and complex tool that allows exploring and understanding the interactions between various factors. Through the implementation of NCM, it was possible to precisely identify the interrelationship between variables such as poor oral hygiene, genetic predisposition, smoking, and diet, among others. This methodological approach not only facilitates the visualization of underlying patterns in the etiology of periodontal diseases, but also offers a platform for the development of more effective prevention and treatment strategies. The results obtained reveal that the complexity of periodontal infections is due to a confluence of biological, environmental and behavioral factors, which interact in a dynamic and non-linear manner. The use of NCM allowed us to unravel these complex interactions, offering a holistic perspective that could not be achieved through traditional methods. Thus, this study not only provides a significant advance in the understanding of periodontal diseases, but also highlights the importance of interdisciplinary and novel approaches in dental research. The adoption of NCM could revolutionize the way both prevention and treatment of these conditions are approached, opening new avenues for future research and clinical practice.

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Analysis and Determination of the Main Causes of Periodontal Infections and Diseases Using Neutrosophic Cognitive Maps (NCM). (2024). Neutrosophic Computing and Machine Learning. ISSN 2574-1101, 33, 28-40. https://fs.unm.edu/NCML2/index.php/112/article/view/547
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How to Cite

Analysis and Determination of the Main Causes of Periodontal Infections and Diseases Using Neutrosophic Cognitive Maps (NCM). (2024). Neutrosophic Computing and Machine Learning. ISSN 2574-1101, 33, 28-40. https://fs.unm.edu/NCML2/index.php/112/article/view/547