MedFusionNet: A hybrid transformer-based multimodal deep learning framework for chronic disease prediction in women’s health

Sonam Juneja

doi:10.1016/j.compmedimag.2026.102795

MedFusionNet: A hybrid transformer-based multimodal deep learning framework for chronic disease prediction in women’s health

2026-07-04

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Sonam Juneja *

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Bhoopesh Singh Bhati

DOI：10.1016/j.compmedimag.2026.102795

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• Introduces MedFusionNet for multimodal women’s health disease prediction. • Fuses CNN, ViT, and text features for robust multimodal learning. • Achieves up to 99.3% accuracy across three women’s health datasets. • Uses Grad-CAM and attention maps for interpretable predictions. • Outperforms unimodal models for early disease detection.

MedFusionNet: A hybrid transformer-based multimodal deep learning framework for chronic disease prediction in women’s health

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