Improving prediction of cervical cancer using KNN imputer and multi-model ensemble learning.
Cervical cancer is a leading cause of women's mortality, emphasizing the need for early diagnosis and effective treatment. In line with the imperative of early intervention, the automated identification of cervical cancer has emerged as a promising avenue, leveraging machine learning techniques...
| Published in: | PLoS ONE |
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| Main Author: | |
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2024-01-01
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| Online Access: | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0295632&type=printable |