Predicting breast cancer recurrence using principal component analysis as feature extraction: an unbiased comparative analysis
Breast cancer recurrence is among the most noteworthy fears faced by women. Nevertheless, with modern innovations in data mining technology, early recurrence prediction can help relieve these fears. Although medical information is typically complicated, and simplifying searches to the most relevant...
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| Main Authors: | , , , , , , |
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| Format: | EJournal Article |
| Published: |
Universitas Ahmad Dahlan,
2020-11-06.
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| Subjects: | |
| Online Access: | Get Fulltext |
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| Call Number: |
A1234.567 |
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| Copy 1 | Available |