Parthiban, Latha and Subramanian, R. (2009) UNSPECIFIED In: Multi-Agent Systems (IAMA 2009), Chennai, India.
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Official URL: https://doi.org/10.1109/IAMA.2009.5228016
Abstract
CANFIS-based approach for detection of erythemato-squamous diseases using 34-feature patient records and six disease indications. Combines neural network adaptation, fuzzy logic, and genetic algorithm. Evaluated for training performance and classification accuracy; shows strong potential for detecting similar-looking disease cases. ©2009 IEEE. © 2009 Elsevier B.V., All rights reserved.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | Computer Science > Artificial Intelligence |
| Divisions: | Arts and Science > School of Arts and Science, Chennai > Computer Science |
| Depositing User: | Unnamed user with email techsupport@mosys.org |
| Last Modified: | 10 Dec 2025 07:08 |
| URI: | https://vmuir.mosys.org/id/eprint/4387 |
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