An integrated machine learning-based model for joint diagnosis of ovarian cancer with multiple test indicators
Yiwen Feng
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 cancer clearly diagnosed in our hospital were collected as a case group (n = 185), and three groups of patients with other malignant otolaryngology tumors (n = 138… Show more
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