Thilagavathi, J and Lavanya, K and Elango, S. and Santhoshi, M. and Muthumanickam, T. and Ramachandran, G. (2022) Analysis of Artificial Intelligence in Medical Sectors. In: UNSPECIFIED.
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Official URL: https://doi.org/10.1109/ICAISS55157.2022.10010820
Abstract
Medical engineering research has advanced due to improved measurement technologies, generating large amounts of data. This study uses an AI-based reasoning engine and decision tree algorithm for clinical data mining and analysis. The system compiles user-generated keywords to suggest relevant content and assists in clinical medical diagnosis, demonstrating the effectiveness of AI and data mining in healthcare applications. © 2023 Elsevier B.V., All rights reserved.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | Computer Science > Artificial Intelligence |
| Divisions: | Engineering and Technology > Vinayaka Mission's Kirupananda Variyar Engineering College, Salem > Electronics & Communication Engineering |
| Depositing User: | Unnamed user with email techsupport@mosys.org |
| Last Modified: | 02 Dec 2025 09:25 |
| URI: | https://vmuir.mosys.org/id/eprint/2886 |
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