Article

Comparative Performance of Machine Learning Algorithms for Early Genetic Disorder and Subclass Classification

2024-10-14

Abstract excerpt

A great deal of effort has been devoted to discovering a particular genetic disorder, but its classification across a broad spectrum of disorder classes and types remains elusive. Early diagnosis of genetic disorders enables timely interventions and improves outcomes. This study implements machine learning models using basic clinical indicators measurable at birth or infancy to enable diagnosis in preliminary life...

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Literature Corpus work: 50b38824-6341-5313-b166-c7ac25cf6a72
DOI: 10.22541/au.172888976.69850708/v1

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