An integrated machine learning-based model for joint diagnosis of ovarian cancer with multiple test indicators
Abstract Objective To construct a machine learning diagnostic model integrating feature dimensionality reduction techniques and artificial neural network classifiers to develop the value of clinical routine blood indexes for the auxiliary diagnosis of ovarian cancer. Methods Patients with ovarian ca...
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| Format: | Article |
| Language: | English |
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BMC
2024-02-01
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| Series: | Journal of Ovarian Research |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13048-024-01365-9 |