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A Priori Estimation of the Narrow-Band UVB Phototherapy Outcome for Moderate-to-Severe Psoriasis Based on the Patients’ Questionnaire and Blood Tests Using Random Forest Classifier
Author(s) -
Joanrbutt,
Janusz W. Krzyścin,
Piotr Sobolewski,
Małgorzata Skibińska,
Marcin Noweta,
Witold Owczarek,
Bonawentura RajewskaWięch,
Aleksandra Lesiak
Publication year - 2021
Publication title -
clinical, cosmetic and investigational dermatology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.73
H-Index - 35
ISSN - 1178-7015
DOI - 10.2147/ccid.s296604
Subject(s) - random forest , psoriasis , medicine , a priori and a posteriori , dermatology , artificial intelligence , computer science , philosophy , epistemology
Nowadays, patients with moderate-to-severe psoriasis are treated with conventional immunosuppressants or with new biological agents. Phototherapy is the first-line treatment for patients in whom topical therapy is insufficient. Although numerous studies have been carried out, it is still difficult to predict the outcome of phototherapy in individual patients.

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