Machine learning-based ovarian cancer prediction with XGboost and stochastic gradient boosting models
Ovarian cancer is one of the most common types of gynecological malignancies with its high mortality rate, silent and occult tumor growth, late onset of symptoms and diagnosis in advanced stages. Therefore, the need to develop new diagnostic techniques to predict the course of the disease and the pr...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Society of Turaz Bilim
2023-03-01
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| Series: | Medicine Science |
| Subjects: | |
| Online Access: | https://www.medicinescience.org/?mno=114710 |