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An Empirical study on the class imbalance handling techniques for different diseases

2022-10-06

Abstract excerpt

<title>Abstract</title> <p>Machine learning and deep learning-based techniques are now widely used to identify and diagnose various diseases. However, getting a sufficient data for these machine learning models is difficult, and usually collected data is unbalanced i.e. less number of instances with disease class and a large number of classes without the disease. These imbalanced data cause poor performance of th...

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Literature Corpus work: 70e4bdb7-83f0-513e-a513-4df94fe1c1a3
DOI: 10.21203/rs.3.rs-2084604/v1

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