MULTI DISEASE PREDICTION SYSTEM
Abstract & Details
Research Area
Computer Engineering
Keywords
Artificial intelligence (AI)
Medical practice
Disease-classification
Medical-decision-making
Machine learning
Python
Convolutional Neural Networks (CNNs)
Abstract
The rapid advancement of artificial intelligence (AI) in healthcare is transforming traditional medical practices. With progress in digitized data acquisition, machine learning, and computing infrastructure, AI is now entering domains once exclusively handled by human experts. Our review article highlights recent breakthroughs in AI technologies and their applications in biomedicine, focusing on the utilization of Python and its scientific libraries like NumPy, SciPy, and pandas. In our research, we utilize Convolutional Neural Networks (CNNs) and other advanced machine learning algorithms to classify diseases, aiming to enhance diagnostic accuracy and streamline medical decision-making. However, significant challenges persist, including data quality and quantity, interpretability of AI models, regulatory compliance, and integration into clinical workflows. Collaboration among AI researchers, healthcare professionals, policymakers, and regulatory bodies is crucial to realizing the full potential of AI in healthcare while addressing these challenges and considering broader economic, legal, and social implications.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Dhivakar S | Bannari Amman Institute of Technology |
| 2 | Mahadevan R | Bannari Amman Institute of Technology |
| 3 | Oscar A | Bannari Amman Institute of Technology |
| 4 | Selvakumar M | Bannari Amman Institute of Technology |
How to Cite
Use the following formats to cite this article in your research.
APA Style
S, Dhivakar, R, Mahadevan, A, Oscar, & M, Selvakumar (2024). MULTI DISEASE PREDICTION SYSTEM. International Journal of Advance Research and Innovative Ideas In Education, 10(2), 1255-1264.
MLA Style
S, Dhivakar, et al. "MULTI DISEASE PREDICTION SYSTEM." International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 2, 2024, pp. 1255-1264.
IEEE Style
Dhivakar S, Mahadevan R, Oscar A, and Selvakumar M, "MULTI DISEASE PREDICTION SYSTEM," International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 2, pp. 1255-1264, 2024.
Vancouver Style
S Dhivakar, R Mahadevan, A Oscar, M Selvakumar. MULTI DISEASE PREDICTION SYSTEM. International Journal of Advance Research and Innovative Ideas In Education. 2024;10(2):1255-1264.
Harvard Style
S, Dhivakar, R, Mahadevan, A, Oscar, & M, Selvakumar (2024) 'MULTI DISEASE PREDICTION SYSTEM', International Journal of Advance Research and Innovative Ideas In Education, 10(2), pp. 1255-1264.
Chicago Style
S, Dhivakar, et al. "MULTI DISEASE PREDICTION SYSTEM." International Journal of Advance Research and Innovative Ideas In Education 10, no. 2 (2024): 1255-1264.
Turabian Style
S, Dhivakar, et al. "MULTI DISEASE PREDICTION SYSTEM." International Journal of Advance Research and Innovative Ideas In Education 10, no. 2 (2024): 1255-1264.
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