Multilevel Stochastic Optimization for Imputation in Massive Medical Data Records

arXiv:2110.09680v3 Announce Type: replace-cross
Abstract: It has long been a recognized problem that many datasets contain significant levels of missing numerical data. A potentially critical predicate for application of machine learning methods to datasets involves addressing this problem. However, this is a challenging task. In this paper, we apply a recently developed multi-level stochastic optimization approach to the problem of imputation in massive medical records. The approach is based on computational applied mathematics techniques and is highly accurate. In particular, …

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