Note: This is a practical machine learning project (including data + code + documentation), if you need data + code + documentation you can directly obtain it at the end of the article 1. Project Background This project is based on the Survival Support Vector Machine (Survival SVM) model, conducting medical survival analysis on clinical … Read more
Support Vector Machine (SVM) is a supervised learning algorithm based on statistical learning theory. Its core objective is to find an optimal hyperplane in the feature space to maximize the separation between different classes of samples. This optimality is reflected in maximizing the margin, which is the distance from the support vectors (the closest sample … Read more
Functional Dyspepsia (FD) is a common functional gastrointestinal disorder characterized by self-reported symptoms such as upper abdominal pain, upper abdominal burning, postprandial fullness, and early satiety, which cannot be explained by routine clinical evaluations. Epidemiological studies indicate that approximately 20% of the global population suffers from dyspepsia, with 80% of these individuals lacking endoscopic evidence … Read more