Early Cardiac Disease Prediction Using Transformer-Based Deep Learning Models: A PRISMA-Guided Systematic Review

This project contains the protocol, methodology, and supplementary materials for a systematic review examining transformer-based deep learning models for the early prediction of cardiovascular diseases (CVDs). The review follows PRISMA 2020 guidelines and focuses on model architectures, data modalities, and clinical applicability.