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Prediction of NB-UVB Phototherapy Treatment Response of Psoriasis Patients using Data mining

Authors: 

Sharifa Mohamed, Bingquan Huang, Tahar Kechadi

Publication Type: 
Refereed Conference Meeting Proceeding
Abstract: 
NB-UVB Phototherapy is one of the most common treatments administrated by dermatologists for psoriasis patients. Although in general, the treatment results in improving the condition, it also can worsen it. If a model can predict the treatment response before hand, the dermatologists can adjust the treatment accordingly. In this paper, we use data mining techniques and conduct four experiments. The best performance of all four experiments was obtained by the stacked classifier made of hyper parameter tuned Random Forest, kSVM and ANN base learners, learned using L1-Regularized Logistic Regression super learner.
Conference Name: 
EEE International Conference on Bioinformatics and Biomedicine, (BIBM-BHI 2017), Kansas, MO, USA, November 13-16, 2017.
Digital Object Identifer (DOI): 
10.xxx
Publication Date: 
10/01/2018
Institution: 
National University of Ireland, Dublin (UCD)
Open access repository: 
No