Fig. 1
From: Data-driven decision-making for precision diagnosis of digestive diseases
Data-driven precision diagnosis for digestive diseases. PCA principal component analysis, t-SNE t-distributed stochastic neighbor embedding, KNN k-nearest neighbor algorithm, LR logistic regression, SVM support vector machine, RF random forest, XGBoost extreme gradient-boosting, CNN convolutional neural networks, RNN recurrent neural networks, GANs generative adversarial networks, DRL deep reinforcement learning, UGIB upper gastrointestinal bleeding