Predicting short- and long-term outcomes of a systemic therapy for atopic dermatitis using machine learning methods
File(s)Abstract_ISAD2018_sbmt.docx (17.41 KB)
Accepted version
Author(s)
Type
Conference Paper
Date Issued
2018-07-01
Date Acceptance
2018-07-01
Citation
British Journal of Dermatology, 2018, 179 (1), pp.E17-E18
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
Engineering & Physical Science Research Council (E
The Royal Society
British Skin Foundation
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000439461600032&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Grant Number
EP/R511547/1
RG160663
021/SG/17
Source
10th George Rajka International Symposium on Atopic Dermatitis
Subjects
Science & Technology
Life Sciences & Biomedicine
Dermatology
Publication Status
Published
Start Date
2018-04-11
Finish Date
2018-04-13
Coverage Spatial
Utrecht, Netherlands
Date Publish Online
2018-07-19