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Phe2vec: Automated disease phenotyping based on unsupervised embeddings from electronic health records
Author(s) -
Jessica K. De Freitas,
Kipp W. Johnson,
Eddye Golden,
Girish N. Nadkarni,
Joel T. Dudley,
Erwin P. Böttinger,
Benjamin S. Glicksberg,
Riccardo Miotto
Publication year - 2021
Publication title -
patterns
Language(s) - English
Resource type - Journals
ISSN - 2666-3899
DOI - 10.1016/j.patter.2021.100337
Subject(s) - clinical phenotype , health records , informatics , computer science , disease , health informatics , machine learning , artificial intelligence , electronic health record , scale (ratio) , embedding , data science , data mining , medicine , phenotype , pathology , biology , health care , cartography , engineering , geography , economic growth , gene , biochemistry , electrical engineering , economics , public health

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