Predicting the outcome of heart failure against chronic-ischemic heart disease in elderly population – Machine learning approach based on logistic regression, case to Villa Scassi hospital Genoa, Italy

Predicting the outcome of heart failure against chronic-ischemic heart disease in elderly population – Machine learning approach based on logistic regression, case to Villa Scassi hospital Genoa, Italy

Totally 167 patients were admitted at cardiology ward in Villa Scassi hospital, Genoa, Italy. We worked with two control groups: heart failure 59 patients (mean age: 71.37 ± 13.27 years) and chronic-ischemic heart disease 108 patients (mean age: 68.85 ± 11.3 years). Nine parameters: Hb, Serum Creati...

Full description

Bibliographic Details
Main Authors: Done Stojanov, Elena Lazarova, Elena Veljkova, Paolo Rubartelli, Mauro Giacomini
Format: Article
Language:English
Published: Elsevier 2023-04-01
Series:Journal of King Saud University: Science
Subjects:
Heart failure
Chronic-ischemic heart disease
Machine learning
Logistic regression
Diagnostic
Prediction
Online Access:http://www.sciencedirect.com/science/article/pii/S1018364723000356

Internet

http://www.sciencedirect.com/science/article/pii/S1018364723000356

Similar Items