Options
Prediction of NB-UVB phototherapy treatment response of psoriasis patients using data mining
File(s)
File | Description | Size | Format | |
---|---|---|---|---|
insight_publication.pdf | 215.13 KB |
Date Issued
16 December 2017
Date Available
14T15:34:15Z December 2017
Abstract
NB-UVB Phototherapy is one of the most commontreatments administrated by dermatologists for psoriasis patients.Although in general, the treatment results in improving thecondition, it also can worsen it. If a model can predict thetreatment response before hand, the dermatologists can adjustthe treatment accordingly. In this paper, we use data miningtechniques and conduct four experiments. The best performanceof all four experiments was obtained by the stacked classifiermade of hyper parameter tuned Random Forest, kSVM and ANNbase learners, learned using L1-Regularized Logistic Regressionsuper learner.
Sponsorship
Science Foundation Ireland
Other Sponsorship
Insight Research Centre
Type of Material
Conference Publication
Publisher
IEEE
Copyright (Published Version)
2017 IEEE
Keywords
Web versions
Language
English
Status of Item
Peer reviewed
Part of
Hu, X. et al. Proceedings: 2017 IEEE International Conference on Bioinformatics and Biomedicine: Nov 13-16, 2017, Kansa City, MO, USA
Description
IEEE International Conference on Bioinformatics and Biomedicine, (BIBM-BHI 2017), Kansas, MO, USA, November 13-16, 2017
This item is made available under a Creative Commons License
Owning collection
Views
985
Last Week
1
1
Last Month
2
2
Acquisition Date
Feb 6, 2023
Feb 6, 2023
Downloads
319
Last Week
6
6
Last Month
24
24
Acquisition Date
Feb 6, 2023
Feb 6, 2023