Semi-Supervised PARAFAC2 Decomposition for Computational Phenotyping Using Electronic Health Records.

Abstract excerpt

Computational phenotyping uses data mining methods to extract clusters of clinical descriptors, known as phenotypes, from electronic health records (EHR). Tensor factorization methods are very effective in extracting meaningful patterns and have become popular in computational phenotyping. Nevertheless, these techniques mainly focus on regular tensors and are used in a fully unsupervised manner. EHR data is often...

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