Background: The imbalance in macrophage phenotype transition is a central mechanism driving chronic inflammation in diabetic kidney disease (DKD). Macrophages can polarize toward the M2 phenotype via ...
This project is a machine learning app that predicts heart disease risk using the UCI Heart Disease Dataset. It applies data preprocessing, PCA, and a trained model to generate predictions, and ...
Abstract: The main aim of this research is to compare the efficacy of Support Vector Machine (SVM) and k-Nearest Neighbors (kNN) algorithms in high-precision brain tumor prediction, solving for the ...
Abstract: To solve the problem of low prediction accuracy of SVM algorithm, this paper proposes a prediction model research method based on PSO-SVM kernel function hybrid algorithm, designs global and ...