Machine Learning Based Differential Diagnosis of Erythemato-Squamous Diseases from Clinical and Microscopic Features

Authors

  • Zareena Begum, Vallala Sai Kiran, Neha, Ajmeera Suresh, Bandela Swath Author

DOI:

https://doi.org/10.48047/tt2y8d47

Keywords:

Keywords: Dermatology, Erythemato Squamous disease, Clinical diagnosis, Computer aided diagnosis, Machine Learning, Optimized clinical operation.

Abstract

Erythemato-squamous diseases, characterized by erythema and scaling, present significant diagnostic challenges due to their overlapping clinical features and variability in patient presentations. Traditional diagnostic methods, relying on clinical examination and histopathological analysis, often involve subjective assessments and can be time-consuming

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Published

19.04.2025

Issue

Vol. 15 No. 4 (2025): volume 15 issue 4(2025)

Section

Articles

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How to Cite

Machine Learning Based Differential Diagnosis of Erythemato-Squamous Diseases from Clinical and Microscopic Features . (2025). International Journal of Information and Electronics Engineering, 15(4), 216-228. https://doi.org/10.48047/tt2y8d47