Publication: Predicting seminal quality with the dominance-based rough sets approach
Issued Date
2020-07-01
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ISSN
1881803X
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2-s2.0-85085696837
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Mahidol University
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SCOPUS
Bibliographic Citation
ICIC Express Letters. Vol.14, No.7 (2020), 653-659
Suggested Citation
Nassim Dehouche Predicting seminal quality with the dominance-based rough sets approach. ICIC Express Letters. Vol.14, No.7 (2020), 653-659. doi:10.24507/icicel.14.07.653 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/57823
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Title
Predicting seminal quality with the dominance-based rough sets approach
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Abstract
© 2020. The paper relies on the clinical data of a previously published study. We identify two very questionable assumptions of said work, namely confusing evidence of absence and absence of evidence, and neglecting the ordinal nature of attributes domains. We then show that using an adequate ordinal methodology such as the Dominance-based Rough Sets Approach (DRSA) can significantly improve the predictive accuracy of the expert system, resulting in almost complete accuracy for a dataset of 100 instances. Beyond the performance of DRSA in solving the diagnosis problem at hand, these results suggest the inadequacy and triviality of the underlying dataset. We provide links to open data from the UCI machine learning repository to allow for an easy verification/refutation of the claims made in this paper. ICIC International
