Domain Induced Dirichlet Mixture of Gaussian Processes: An Application to Predicting Disease Progression in Multiple Sclerosis Patients

IEEE International Conference on DataMining, 2015.

Cited by: 1|Bibtex|Views11|DOI:https://doi.org/10.1109/ICDM.2015.74
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Other Links: academic.microsoft.com|dblp.uni-trier.de|dl.acm.org

Abstract:

Predicting disease course is critical in chronic progressive diseases such as multiple sclerosis (MS) for determining treatment. Forming an accurate predictive model based on clinical data is particularly challenging when data is gathered from multiple clinics/physicians as the labels vary with physicians' subjective judgment about clinic...More

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