MACHINE LEARNING ALGORITHMS FOR ERYTHEMATO-SQUAMOUS DISEASE CLASSIFICATION: FEATURE RANKINGS AND PERFORMANCE ANALYSIS

MACHINE LEARNING ALGORITHMS FOR ERYTHEMATO-SQUAMOUS DISEASE CLASSIFICATION: FEATURE RANKINGS AND PERFORMANCE ANALYSIS

Erythemato-squamous diseases (ESDs), also known as erythrodermas, are a group of dermatological disorders characterized by both redness (erythema) and scaling (squamous) of the skin. These conditions can have various causes and implications. The implications of ESDs vary depending on the specific co...

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Bibliographic Details
Main Authors: M. Venkata Subbarao, S. Lakshmi Praveena, T. Naga Sharmila, Praveen Kumar Nalli, G. Challa Ram, D. Ramesh Varma, Srinivasarao Alluri, Tabassum Nazeer Syed
Format: Article
Language:English
Published: University of Kragujevac 2024-12-01
Series:Proceedings on Engineering Sciences
Subjects:
dermatology
psoriasis
seborrheic dermatitis
lichen planu
pityriasis rosea
chronic dermatitis
pityriasis rubra pilari
ml classifiers
kruskal-wallis feature ranking
Online Access:https://pesjournal.net/journal/v6-n4/33.pdf
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https://pesjournal.net/journal/v6-n4/33.pdf

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