Proceedings of the International Conference on Intelligent Systems and Digital Transformation (ICISD 2025)

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Machine Learning Prognostics for Genetic Disorder Prediction

Authors
Karthikayani1, *, B. Kalaiselvan1, P. Prannaveshwaaran1, Vishwajith1
1Department of Computer Science and Engineering, SRM Institute of Science and Technology, Vadapalani, Chennai, India
*Corresponding author. Email: karthikk3@srmist.edu.in
Corresponding Author
Karthikayani
Available Online 31 October 2025.
DOI
10.2991/978-94-6463-866-0_81How to use a DOI?
Keywords
Genetic Disorder; Machine Learning; Prognostics; Deep Learning; Prediction Models; Ensemble Methods
Abstract

It utilizes machine learning prognostics in predicting genetic diseases by taking large sets of computational algorithms that process huge genetic data. These models attempt to forecast the probability of acquiring certain types of genetic diseases with the help of gene markers, ancestral history, environment, and social factors using deep learning, ensemble approaches, and feature selection techniques. These abstracts primarily revolve around the development and validation of prediction models, accuracy of assessing risks, and their possible interventions at earlier stages and different treatments. This would eventually lead to improved patient outcomes through specific healthcare practices, improved diagnosis and therapeutic schemes, and increased knowledge of the mechanisms that can be used in predicting the disease. Machine learning techniques have developed to a greater extent for genetic disorder using sophisticated attributes and engineering to acquire relevant genomic information.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Intelligent Systems and Digital Transformation (ICISD 2025)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
31 October 2025
ISBN
978-94-6463-866-0
ISSN
2589-4919
DOI
10.2991/978-94-6463-866-0_81How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Karthikayani
AU  - B. Kalaiselvan
AU  - P. Prannaveshwaaran
AU  - Vishwajith
PY  - 2025
DA  - 2025/10/31
TI  - Machine Learning Prognostics for Genetic Disorder Prediction
BT  - Proceedings of the International Conference on Intelligent Systems and Digital Transformation (ICISD 2025)
PB  - Atlantis Press
SP  - 1004
EP  - 1014
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-866-0_81
DO  - 10.2991/978-94-6463-866-0_81
ID  - 2025
ER  -