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

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Title: Prediction of NB-UVB Phototherapy Treatment Response of Psoriasis Patients using Data mining
Authors: Mohamed, Sharifa
Huang, Bingquan
Kechadi, Tahar
Permanent link: http://hdl.handle.net/10197/9112
Date: 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.
Funding Details: Science Foundation Ireland
Type of material: Conference Publication
Keywords: Machine learningStatistics
Other versions: https://muii.missouri.edu/bibm2017/
Language: en
Status of Item: Peer reviewed
Conference Details: IEEE International Conference on Bioinformatics and Biomedicine, (BIBM-BHI 2017), Kansas, MO, USA, November 13-16, 2017
Appears in Collections:Insight Research Collection

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