There are more than 1000 inspection items currently used in clinical practice.The real laboratory medicine data are used to construct the malignant ovarian tumor prediction model through logistic regression and support vector machine,and to explore the correlation between the inspection items and the diagnosis results.The experimental results show that the malig-nant ovarian tumor prediction model constructed by the two machine learning algorithms has high prediction levels,and non-specific inspection items such as red blood cell distribution width and mean platelet volume have strong correlation with the di-agnosis results of malignant ovarian tumors.
关键词
机器学习/逻辑回归二分类/支持向量机/卵巢恶性肿瘤/医学检验
Key words
machine learning/logical regression two classification/support vector machine/malignant ovarian tumor/laborato-ry medicine
维普
万方数据