Predicting short- and long-term outcomes of a systemic therapy for atopic dermatitis using machine learning methods

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Title: Predicting short- and long-term outcomes of a systemic therapy for atopic dermatitis using machine learning methods
Authors: Hurault, G
Roekevisch, E
Szegedi, K
Kezic, S
Spuls, PI
Middelkamp-Hup, MA
Tanaka, RJ
Item Type: Conference Paper
Issue Date: 1-Jul-2018
Date of Acceptance: 1-Jul-2018
URI: http://hdl.handle.net/10044/1/61881
DOI: https://dx.doi.org/10.1111/bjd.16718
ISSN: 1365-2133
Publisher: Wiley
Start Page: E17
End Page: E18
Journal / Book Title: British Journal of Dermatology
Volume: 179
Issue: 1
Copyright Statement: © 2018 British Association of Dermatologists. This is the accepted version of the following article: Abstracts of the 10th George Rajka International Symposium on Atopic Dermatitis, 11–13 April 2018, Utrecht, the Netherlands, Volume 179, Issue 1, July 2018, Pages e5-e59, which has been published in final form at https://dx.doi.org/10.1111/bjd.16718
Sponsor/Funder: Engineering & Physical Science Research Council (E
The Royal Society
British Skin Foundation
Funder's Grant Number: EP/R511547/1
RG160663
021/SG/17
Conference Name: 10th George Rajka International Symposium on Atopic Dermatitis
Keywords: Science & Technology
Life Sciences & Biomedicine
Dermatology
Science & Technology
Life Sciences & Biomedicine
Dermatology
1103 Clinical Sciences
1112 Oncology And Carcinogenesis
Dermatology & Venereal Diseases
Publication Status: Published
Start Date: 2018-04-11
Finish Date: 2018-04-13
Conference Place: Utrecht, Netherlands
Embargo Date: 2019-07-01
Online Publication Date: 2018-07-19
Appears in Collections:Faculty of Engineering
Bioengineering



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