Hayder M. A. Ghanimi

An explainable deep learning-based computational framework for stroke prediction using multimodal radiomics features: A retrospective machine learning study

Stroke prediction models (SPMs) serve two important roles: accurately recognizing stroke symptoms and informing treatment decisions. The Synthetic Minority Oversampling Technique is typically used for analysis. An improved deep learning model for multimodal radiomic features and data preprocessing on imbalanced dataset...