Prediction Model of Malignant Ovarian Tumor Based on Machine Learning
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.
machine learninglogical regression two classificationsupport vector machinemalignant ovarian tumorlaborato-ry medicine
万方数据
维普
