Deep holistic representation learning from ehr
E Zhang, R Robinson… - 2018 12th international …, 2018 - ieeexplore.ieee.org
In recent years there has been a surge of interest in applying deep neural networks to
electronic health records (EHRs) for predictive clinical tasks. EHR data cannot be mined like …
electronic health records (EHRs) for predictive clinical tasks. EHR data cannot be mined like …
Estudio preliminar de la anotación automática de códigos CIE-10 en informes de alta hospitalarios
En la actualidad, la cantidad de recursos que se destinan a la codificación de informes
médicos es enorme. Con la reciente implantación del estándar CIE-10 en el sistema …
médicos es enorme. Con la reciente implantación del estándar CIE-10 en el sistema …
Graphical user interface for assistance with ICD-10 coding of hospital discharge records
The implantation of the International Statistical Classification of Diseases and Related
Health Problems 10th Revision has caused coding becomes increasingly complex and slow …
Health Problems 10th Revision has caused coding becomes increasingly complex and slow …
Optimization of Word Embeddings in Text Categorization
PA Lauren - 2018 - search.proquest.com
Word embeddings are an effective way to automatically extract features from text by
representing words as low-dimensional distributed representations in the form of word …
representing words as low-dimensional distributed representations in the form of word …