Pure Mathematics for Theoretical Computer Science

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https://doi.org/10.54216/PMTCS

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Volume 3 , Issue 1 , PP: 31-47, 2024 | Cite this article as | XML | Html | PDF | Full Length Article

Using Major Pathway and Compound Analysis Methods To Identify Factors Affecting Diabetes

Zainab Sami Yaseen 1 *

  • 1 Southern technical university, technical institute of Basrah, Basrah, Iraq. - (zainab.s.yassin@stu.edu.iq)
  • Doi: https://doi.org/10.54216/PMTCS.030105

    Received: June 22, 2023 Revised: September 15, 2023 Accepted: December 17, 2023
    Abstract

    Legal analysis is one of the important methods to study the interrelationships between two types of variables. an important use of this analysis is to reduce the data. Many studies use this analysis as a way to study the interrelationships between two types of variables. There have been no empirical studies of the use of legal analysis as a method. From my point of view, this study aims to shed light on how to use legal analysis as a means of factor analysis, and to show how to apply it in this field by dealing with a practical problem in the active field. The applied problem includes the study of the factorial analysis, the method of the main compounds, the method of path analysis, and the compatibility between them on two types of data, represented by identifying the factors associated with diabetes, and then identifying the variables that affect the rise in the measurement of sugar two hours after eating. impact according to priority and importance.

    Keywords :

    Principal Components Analysis , Jolliffe method , Scree Diagram method , Bartlett method , Path Analysis.

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    Cite This Article As :
    Sami, Zainab. Using Major Pathway and Compound Analysis Methods To Identify Factors Affecting Diabetes. Pure Mathematics for Theoretical Computer Science, vol. , no. , 2024, pp. 31-47. DOI: https://doi.org/10.54216/PMTCS.030105
    Sami, Z. (2024). Using Major Pathway and Compound Analysis Methods To Identify Factors Affecting Diabetes. Pure Mathematics for Theoretical Computer Science, (), 31-47. DOI: https://doi.org/10.54216/PMTCS.030105
    Sami, Zainab. Using Major Pathway and Compound Analysis Methods To Identify Factors Affecting Diabetes. Pure Mathematics for Theoretical Computer Science , no. (2024): 31-47. DOI: https://doi.org/10.54216/PMTCS.030105
    Sami, Z. (2024) . Using Major Pathway and Compound Analysis Methods To Identify Factors Affecting Diabetes. Pure Mathematics for Theoretical Computer Science , () , 31-47 . DOI: https://doi.org/10.54216/PMTCS.030105
    Sami Z. [2024]. Using Major Pathway and Compound Analysis Methods To Identify Factors Affecting Diabetes. Pure Mathematics for Theoretical Computer Science. (): 31-47. DOI: https://doi.org/10.54216/PMTCS.030105
    Sami, Z. "Using Major Pathway and Compound Analysis Methods To Identify Factors Affecting Diabetes," Pure Mathematics for Theoretical Computer Science, vol. , no. , pp. 31-47, 2024. DOI: https://doi.org/10.54216/PMTCS.030105