Data Scientist Ke Zhang’s Research Explores Homomorphic Encryption for Privacy-Preserving Marketing

A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...
British Journal of Ophthalmology

Identifying patients with poor visual outcomes after primary rhegmatogenous retinal detachment surgery using machine learning

Aims To develop prediction models for identifying cases with poor visual outcomes after surgery for primary rhegmatogenous ...
Frontiers

Multimodal Machine Learning Predicts Type 2 Respiratory Failure in COPD Exacerbations: A Multicenter XGBoost Model with Clinical Nomogram

Hybrid feature selection (LASSO plus XGBoost ranking) identified key variables. Six algorithms—logistic regression, SVM, random forest, GBDT, LightGBM, and XGBoost—were compared. Performance was ...