Risk factors and prediction of very short term versus short/intermediate term post-stroke mortality: a data mining approach.
Comput Biol Med
; 54: 199-210, 2014 Nov.
Article
in En
| MEDLINE
| ID: mdl-25303114
Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Pattern Recognition, Automated
/
Proportional Hazards Models
/
Models, Statistical
/
Stroke
/
Data Mining
Type of study:
Clinical_trials
/
Diagnostic_studies
/
Etiology_studies
/
Incidence_studies
/
Observational_studies
/
Prognostic_studies
/
Risk_factors_studies
Limits:
Adult
/
Aged
/
Aged80
/
Female
/
Humans
/
Male
/
Middle aged
Country/Region as subject:
Europa
Language:
En
Journal:
Comput Biol Med
Year:
2014
Document type:
Article
Country of publication: