Neutrosophic method for the identification of metabolic bone disease

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Published: Feb 1, 2023
Keywords:
parathormone, vitamin D, bone mineralization, neutrosophic method, estimation, feasibility

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Alex Ramon Valencia Herrera
University of Regional Autónoma de Los Andes.
Liliana Katherine Sailema López
University of Regional Autónoma de Los Andes
Génesis Alexandra Zúñiga Cárdenas
University of Regional Autónoma de Los Andes.

Abstract

Metabolic bone disease is a condition that occurs most frequently in preterm pediatric patients and is characterized by impaired mineralization and multiple factors such as low calcium and potassium stores. Justification: The importance of this bibliographical review is to investigate the development and evolution of metabolic bone disease and its diagnostic importance in medical practice. The present investigation aims to develop a method for the identification of metabolic bone disease. The method bases its operation on neutrosophic numbers to model uncertainty.

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How to Cite
Neutrosophic method for the identification of metabolic bone disease. (2023). Neutrosophic Computing and Machine Learning. ISSN 2574-1101, 26, 149-157. https://fs.unm.edu/NCML2/index.php/112/article/view/315
Issue
Vol. 26 (2023): February {Special issue: Neutrosophy and its impact on society. Perspective in the Ecuadorian context}
Section
Articles
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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

Neutrosophic method for the identification of metabolic bone disease. (2023). Neutrosophic Computing and Machine Learning. ISSN 2574-1101, 26, 149-157. https://fs.unm.edu/NCML2/index.php/112/article/view/315

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