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AI-based Medical Diagnosis System using Deep Learning and Predictive Analytics

Sharvary K V1 Jayesh S2 Karan S3
1 2 3 Department of CSE Data Science, Dayananda Sagar Academy of Technology & Management, Bengaluru, Karnataka, India.

Published Online: September-December 2025

Pages: 140-145

References

1. Al-Antari, Mugahed A. 2023. "Artificial Intelligence for Medical Diagnostics—Existing Technology!" Diagnostics and 13, Future AI no.4:688. https://doi.org/10.3390/diagnostics13040688
2. Mehtab Tariq, Yawar Hayat, Adil Hussain, Aftab Tariq, Saad Rasool. "Principles and Perspectives in Medical Diagnostic Systems Employing Artificial Intelligence(AI) Algorithms" International Research Journal of Economics and Management Studies, Vol. 3, No. 1, pp. 376-398, https://irjems.org/Volume-3-Issue-1/IRJEMS V3I1P144.pdf 2024.
3. Shen J, Zhang C, Jiang B, Chen J, Song J, Liu Z, He Z, Wong S, Fang P, Ming W Artificial Intelligence Versus Clinicians in Disease Diagnosis:Systematic Review JMIR Med Inform 2019;7(3):e10010 https://medinform.jmir.org/2019/3/e10010
4. S. Kaur et al., "Medical Diagnostic Systems Using Artificial Intelligence (AI) Algorithms: Principles and Perspectives," in IEEE Access, vol. 8, pp. 228049-228069, 2020, doi: 10.1109/ACCESS.2020.3042273. keywords:{Diseases; Artificial intelligence; Medical diagnostic imaging; Medical services; Fuzzy logic; Deep learning; Medical diagnosis; Big data analytics; artificial intelligence; machine learning; deep learning; soft computing; chronic disease; diagnosis; health care prediction}
5. Dóra Göndöcs, Viktor Dörfler, AI in medical diagnosis: AI prediction & human judgment, Artificial Intelligence in Medicine, Volume 149, 2024, 102769, ISSN 0933-3657, https://doi.org/10.1016/j.artmed.2024.102769. https://www.sciencedirect.com/science/article/pii/S 0933365724000113
6. Ghaffar Nia, N., Kaplanoglu, E. & Nasab, A. Evaluation of artificial intelligence techniques in disease diagnosis and prediction. Discov Artif Intell 3,5 (2023). https://doi.org/10.1007/s44163-023-00049-5
7. Olumuyiwa, Badaru I., The Anh Han, and Zia U. Shamszaman. 2024. "Enhancing Cancer Diagnosis with Explainable & Trustworthy Deep Learning Models." arXiv preprint. https://arxiv.org/abs/2412.17527
8. Chavada, Danish, Priyanka Patel, Anurodh Bante, Puja Sonkusule, and Prof. Anuja Ghasad. 2025. "AI-Driven Disease Prediction: Developing a Machine Learning- Based Healthcare Diagnostic Tool." International Journal for Research in Applied Science and Engineering Technology (IJRASET). https://www.ijraset.com/research-paper/ai-driven disease- prediction-developing-a-machine-learning based- healthcare-diagnostic-tool [9] Singh, Amitojdeep, Sourya Sengupta, and Vasudevan Lakshminarayanan. 2020. "Explainable Deep Learning Models in Medical Image Analysis." arXiv preprint. https://arxiv.org/abs/2005.13799
9. Devi, Kharibam Jilenkumari, Wajdi Alghamdi, Divya N, and Ahmed Alkhayyat. 2023. "Artificial Intelligence in Healthcare: Diagnosis, Treatment, and Prediction." E3S Web of Conferences. https://www.researchgate.net/publication/37233888 7_Artificial_Intelligence_in_Healthcare_Diagnosis Treatment_and_Prediction
10. Aqeel, Sehrish. 2019. "Deep Learning for Predictive Analytics in Healthcare." International Conference on Machine Learning and Data Engineering (iCMLDE). https://www.researchgate.net/publication/33198852 3_Deep_Learning_for_Predictive_Analytics_in_Healthcare
11. Adilakshmi, J., G. Vinoda Reddy, Krishan Dev Nidumolu, Renzon Daniel Cosme Pecho, and M. Jahir Pasha. 2023. "A Medical Diagnosis System Based on Explainable Artificial Intelligence: Autism Spectrum Disorder Diagnosis." International Journal of Intelligent Systems and Applications in Engineering, Vol. 11, No. 3. https://www.ijisae.org/index.php/IJISAE/article/vie w/2864

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