2019
Evaluation of Source-wise Missing Data Techniques for the Prediction of Parkinson's Disease Using Smartphones
ICASSP 2019accepted
Multi-source datasets often present the challenge of source-wise missing data which can render large portions of the dataset inaccessible. The applicability of traditional missing data techniques on multi-source datasets is poorly understood. We present the first quantitative evaluation of the state…