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1.
Prevalence of heart failure signs and symptoms in a large primary care population identified through the use of text and data mining of the electronic health record.
J Card Fail
; 20(7): 459-64, 2014 Jul.
Artículo
en Inglés
| MEDLINE | ID: mdl-24709663
2.
Characterizing Physicians Practice Phenotype from Unstructured Electronic Health Records.
AMIA Annu Symp Proc
; 2016: 514-523, 2016.
Artículo
en Inglés
| MEDLINE | ID: mdl-28269847
3.
Early detection of heart failure with varying prediction windows by structured and unstructured data in electronic health records.
Annu Int Conf IEEE Eng Med Biol Soc
; 2015: 2530-3, 2015.
Artículo
en Inglés
| MEDLINE | ID: mdl-26736807
4.
Prescription Extraction from Clinical Notes: Towards Automating EMR Medication Reconciliation.
AMIA Jt Summits Transl Sci Proc
; 2015: 188-93, 2015.
Artículo
en Inglés
| MEDLINE | ID: mdl-26306266
5.
Automatic identification of heart failure diagnostic criteria, using text analysis of clinical notes from electronic health records.
Int J Med Inform
; 83(12): 983-92, 2014 Dec.
Artículo
en Inglés
| MEDLINE | ID: mdl-23317809
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