Development of an Algorithm for the Transition From Regression Models to Optimization Models in the Differential Diagnosis of Iron Deficiency Anemia and ?-thalassemia in Children in the Republic of Artsakh

AUTHOR(S):

Harutyunyan Iren Vazgeni, Aydinyan Lusine Garniki, Lalayan Ernest Lavrenti, Galstyan Gyulchora Anushavani, Harutyunyan Robert Misaki

TITLE

Development of an Algorithm for the Transition From Regression Models to Optimization Models in the Differential Diagnosis of Iron Deficiency Anemia and ?-thalassemia in Children in the Republic of Artsakh

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ABSTRACT

Mathematical tools for studying anemia course have not yet been fully developed. The main clinical diagnostic and anamnestic indicators of a sick child are the dominant point of view. In order to better predict anemia, we aim to comprehend the role played by mathematical tools in these studies. This paper presents a methodology for analyzing anamnestic, clinical, and laboratory data that designed for assessing the fundamental mathematical techniques using a variety of theoretical foundations such as the probability theory, mathematical statistics, and other mathematical forecasting methods using specialized application packages. The paper highlights some key aspects of predicting childhood anemia in the Republic of Artsakh.

KEYWORDS

mathematical model, registration model, optimal model, IT, Mentzer Index, coefficient of determination, ? − thalassemia, adjusted coefficient of determination

Cite this paper

Harutyunyan Iren Vazgeni, Aydinyan Lusine Garniki, Lalayan Ernest Lavrenti, Galstyan Gyulchora Anushavani, Harutyunyan Robert Misaki. (2023) Development of an Algorithm for the Transition From Regression Models to Optimization Models in the Differential Diagnosis of Iron Deficiency Anemia and ?-thalassemia in Children in the Republic of Artsakh. International Journal of Biology and Biomedicine, 8, 13-19