Vol. 23 No. Special Issue 3 (2024): Mapana - Journal of Sciences
Research Articles

Prediction of Type2 Diabetes using Insulin DNA Sequence

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  • Aswathi Sasidharan
Aswathi Sasidharan
CHRIST (Deemed to be University), Bengaluru, Karnataka, India
DOI: https://doi.org/10.12723/mjs.sp3.7

Published 2024-11-06

Keywords

  • Machine Learning,
  • Type2 Diabetes,
  • Machine Learning Models,
  • DNA Sequence,
  • Model Construction,
  • BLAST, and AUGUSTUS.
    • ...More
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Copyright (c) 2024

Creative Commons License

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Abstract

This research paper addresses the challenge of objectively evaluating diverse biological characteristics through the classification of DNA sequences. Identifying DNA sequences in genomics research can aid in discovering novel protein activities, such as insulin, which regulates blood sugar levels in the human body. Diabetes, a prevalent chronic illness, is linked to changes in the insulin gene sequence. The study aims to develop a machine-learning model to categorize the insulin gene's DNA sequence and identify type 2 diabetes based on this transformation. The model's performance will be compared to existing machine-learning models. Additionally, the research seeks to identify unique gene variants of the insulin protein associated with diabetes prognosis and investigate the risk factors associated with these gene variants.

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