An integrated machine learning-based model for joint diagnosis of ovarian cancer with multiple test indicators

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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Bibliographic Details
Main Author: Yiwen Feng
Format: Article
Language:English
Published: BMC 2024-02-01
Series:Journal of Ovarian Research
Subjects:
Ovarian cancer
Machine learning
Test indicators
Diagnosis
Discriminative ability
Online Access:https://doi.org/10.1186/s13048-024-01365-9

Internet

https://doi.org/10.1186/s13048-024-01365-9

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