Article

Characterizing Patient Representations for Computational Phenotyping

2022-07-29

Abstract excerpt

Patient representation learning methods create rich representations of complex data and have potential to further advance the development of computational phenotypes (CP). Currently, these methods are either applied to small predefined concept sets or all available patient data, limiting the potential for novel discovery and reducing the explainability of the resulting representations. We report on an extensive, d...

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Literature Corpus work: d7150893-fde6-5fdc-8086-66dcde1ba962
DOI: 10.1101/2022.07.26.22278073

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