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Semi-supervised Learning for Phenotyping Tasks

Supervised learning is the dominant approach to automatic electronic health records-based phenotyping, but it is expensive due to the cost of manual chart review. Semi-supervised learning takes advantage of both scarce labeled and plentiful unlabeled data. In this work, we study a family of semi-sup...

Deskribapen osoa

Gorde:
Xehetasun bibliografikoak
Argitaratua izan da:AMIA Annu Symp Proc
Egile Nagusiak: Dligach, Dmitriy, Miller, Timothy, Savova, Guergana K.
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: American Medical Informatics Association 2015
Gaiak:
Sarrera elektronikoa:https://ncbi.nlm.nih.gov/pmc/articles/PMC4765699/
https://ncbi.nlm.nih.gov/pubmed/26958183
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