CROSS-DOMAIN MEDICAL DATA FUSION USING DEEP LEARNING FOR  EARLY AND PRECISION DISEASE DETECTION

Dr.D.Srinivas Reddy ,Dr. N. Chandramouli

CROSS-DOMAIN MEDICAL DATA FUSION USING DEEP LEARNING FOR EARLY AND PRECISION DISEASE DETECTION

Authors

Dr.D.Srinivas Reddy ,Dr. N. Chandramouli

Keywords:

Early Disease Detection, Deep Learning, Multimodal Data Integration, Medical Imaging, Clinical Text Data, Numerical Health Records, Feature Fusion, Late Fusion, Unified Model, Predictive Healthcare, Artificial Intelligence in Medicine, Diagnostic Accuracy.

Abstract

Medical records that are not connected may pose an issue, despite the importance of earlydisease detection in saving lives. This paper presents a deep learning model that integrates text, images, and numbers to address this issue

References

Zhang, Y., Liu, X., & Wang, Y. (2024). A Transformer-based model for multimodal data fusion in early disease diagnosis. IEEE Journal of Biomedical and Health Informatics, 28(2), 135-147.

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Published

2024-12-25

How to Cite

Dr.D.Srinivas Reddy ,Dr. N. Chandramouli. (2024). CROSS-DOMAIN MEDICAL DATA FUSION USING DEEP LEARNING FOR EARLY AND PRECISION DISEASE DETECTION . Journal of Computational Analysis and Applications (JoCAAA), 33(08), 7336–7344. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/4173