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

Journal: Journal of ovarian research

Published Date: Feb 20, 2024

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.

Authors

Yiwen Feng

Departments of Obstetrics and Gynecology, Shanghai General Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 200080, P.R. China. angelavon1199@163.com.

Keywords

Female Humans Image Processing, Computer-Assisted Machine Learning Magnetic Resonance Imaging Neural Networks, Computer Ovarian Neoplasms Reproducibility of Results ROC Curve

External Resources

View on PubMed Access via DOI PubMed (38378582)

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

Abstract

Authors

Keywords

External Resources

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