使用逻辑回归、神经网络、支持向量机、KNN和随机森林的分类算法实现疾病诊断,在测试集上获得了80%的acc以及F1-score。Disease diagnosis is realized by using the classification algorithm of logical regression, neural network and random forest. 80% of ACC and F1 score are obtained in the test set.