Prediction of NB-UVB Phototherapy Treatment Response of Psoriasis Patients using Data mining
|Title:||Prediction of NB-UVB Phototherapy Treatment Response of Psoriasis Patients using Data mining||Authors:||Mohamed, Sharifa
|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 learning; Statistics||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|
Show full item record
This item is available under the Attribution-NonCommercial-NoDerivs 3.0 Ireland. No item may be reproduced for commercial purposes. For other possible restrictions on use please refer to the publisher's URL where this is made available, or to notes contained in the item itself. Other terms may apply.