Readmission prediction via deep contextual embedding of clinical concepts.
PLoS One
; 13(4): e0195024, 2018.
Article
in En
| MEDLINE
| ID: mdl-29630604
Full text:
1
Database:
MEDLINE
Main subject:
Patient Discharge
/
Patient Readmission
/
Models, Statistical
/
Electronic Health Records
/
Heart Failure
Type of study:
Etiology_studies
/
Prognostic_studies
/
Risk_factors_studies
Limits:
Humans
Language:
En
Journal:
PLoS One
Journal subject:
CIENCIA
/
MEDICINA
Year:
2018
Type:
Article
Affiliation country:
United States