A Survey On- Applying Machine Learning Techniques to Psoriasis Diagnosis

Skin disorders were some of the most common health issues worldwide. Psoriasis is a Papulosquamos disease group chronic squamous disease. It presents itself in a number of ways, the most prominent of which are erythematous and scaly plaques on the forehead, elbows, knees, and lower back, with or wit...

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Bibliographic Details
Published inNeuroQuantology Vol. 20; no. 8; p. 139
Main Authors Bhaswanth, N, VenkataSekhar, D, Reddy, M purushotham
Format Journal Article
LanguageEnglish
Published Bornova Izmir NeuroQuantology 01.01.2022
Subjects
Algorithms
Classification
Discriminant analysis
Disease
Forehead
Information technology
Machine learning
Neural networks
Psoriasis
Skin
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Summary:Skin disorders were some of the most common health issues worldwide. Psoriasis is a Papulosquamos disease group chronic squamous disease. It presents itself in a number of ways, the most prominent of which are erythematous and scaly plaques on the forehead, elbows, knees, and lower back, with or without nail disease and arthritis. It can affect anywhere else on the body, from a few places to vast areas. Although the main symptom of psoriasis is elusive, it is accepted that it is hereditary and genetic. Several machine learning algorithms for diagnosing psoriasis are presented in this paper.
ISSN:1303-5150
DOI:10.14704/nq.2022.20.8.NQ44015