Authors : DR M. Prabu; Aparmit Prakash; R. Yasir Abbas; Md Sawaiz Khan

Volume/Issue : Volume 10 - 2025, Issue 4 - April

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Google Scholar : https://tinyurl.com/523fctsb

Scribd : https://tinyurl.com/2dcuzjrn

DOI : https://doi.org/10.38124/ijisrt/25apr1261

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Abstract : Genetic illnesses, caused by DNA mutations— either inherited or acquired—can lead to serious illnesses such as Alzheimer's, cancer, and Hemochromatosis. New developments in artificial intelligence have been promising for early disease detection. In this paper, we address the issue of predicting multiple genetic illnesses by suggesting two primary approaches: (1) a novel feature engineering approach that combines class probabilities from Extra Trees and Random Forest models, and (2) a classifier chain method where predictions from previous models impact subsequent ones. These approaches combined are intended to enhance early and precise detection of genetic conditions.

Keywords : Genome Mutation, Genetic Disorder, Machine Learning, Chain Classifier Approach.

References :

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