We developed two methods to screen for white-coat hypertension and masked hypertension. First method uses machine learning classifiers such as Random Forest. Features were ranked with SHAP values, and supervised feature selection was performed. Second method utilizes dimensionality reduction and deep learning with PCA and Tab-PFN.
Building integrated management system by artificial intelligence based on big data analysis and data mining to implement precision medicine in healthcare management
Using Artificial Intelligence to Build a Safe and Secure Social Media System
ToFEye：An Artificial Intelligence Time-of-Flight Abnormal Posture Recognition System Applied to Bathroom and Toilet Environments
Advanced artificial-intelligence based forecasting technique to enhance semiconductor supply chain and manufacturing network resilience
Technology maturity：Trial production
Exhibiting purpose：Display of scientific results
Trading preferences：Negotiate by self
Coming soon!