A Predictive Model Approach to Detect the Influence in Transmission of Juvenile Diabetes from Gestational Parent to The Next Generation

Proceedings of The 4th International Conference on Research in Applied Science

Year: 2021

DOI:

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A Predictive Model Approach to Detect the Influence in Transmission of Juvenile Diabetes from Gestational Parent to The Next Generation

Assi. Prof. Aparna Vaidyanathan, Dr. Vasantha Kalyani David

 

ABSTRACT: 

The diagnosis of type1 diabetes (T1D) in child has become a concern and a huge point of research with precision decisions. As the lifestyle and environment changes the factors that influence diabetes is becoming more challenging and a scope of concern. A research is necessary to analyze the factors and the cause for type 1 diabetes in children that occurs in the early stage of age 4 to 7, in the age 10 to 14 and greater than 15. The concern is more critical where the diagnosis needs to be done much more early for the child that is detected with Type 1 diabetes as the child is  dependent to insulin externally through injection. A Model that is analytical and predictive can assist in analyzing the occurrence of diabetes in children at the early stage so that prevention and cure can be provided at the right time with highest precision. The model emphasis on detecting the influence of gestational parents to the child in early stages. As there are various factors of influences, choosing the right factors and associating the gestational factors to the derivation of diabetes causes in the child can be made predictive and decisive with the extensive use of datasets. This research paper structures the predictive model to detect all possible influences that transmits diabetes to next generation from gestational parents.

Keywords: Juvenile diabetes, gestational diabetes, Analytical model, influential factors, Predictive model, Algorithms.