A machine-learning approach to cardiovascular risk prediction in psoriatic arthritis

Rheumatology ◽  
2020 ◽  
Vol 59 (7) ◽  
pp. 1767-1769
Author(s):  
Luca Navarini ◽  
Michela Sperti ◽  
Damiano Currado ◽  
Luisa Costa ◽  
Marco A Deriu ◽  
...  
Keyword(s):  
Machine Learning ◽  
Cardiovascular Risk ◽  
Psoriatic Arthritis ◽  
Risk Prediction ◽  
Learning Approach ◽  
Cardiovascular Risk Prediction ◽  
Machine Learning Approach

scholarly journals Machine learning approaches as an alternative to traditional statistical methods in cardiovascular risk prediction

2021 ◽  
Vol 4 (s1) ◽  
Author(s):  
Michela Sperti ◽  
Fabrizio D’Ascenzo ◽  
Luca Navarini ◽  
Giacomo Di Benedetto ◽  
Antonella Afeltra ◽  
...  
Keyword(s):  
Machine Learning ◽  
Acute Coronary Syndrome ◽  
Cardiovascular Risk ◽  
Psoriatic Arthritis ◽  
Risk Prediction ◽  
Inflammatory Arthritis ◽  
Learning Approaches ◽  
Coronary Syndrome ◽  
Cardiovascular Risk Prediction ◽  
Risk Predictors

Machine Learning (ML) algorithms have proven promising methodologies in improving Cardiovascular (CV) risk predictors based on traditional statistics. In the present work, two case studies are reported: CV risk prediction in patients affected by Inflammatory Arthritis (IA), with attention to Psoriatic Arthritis (PsA), and patients who experienced Acute Coronary Syndrome (ACS).

scholarly journals A Naive Bayes machine learning approach to risk prediction using censored, time-to-event data

2015 ◽  
Vol 34 (21) ◽  
pp. 2941-2957 ◽  
Author(s):  
Julian Wolfson ◽  
Sunayan Bandyopadhyay ◽  
Mohamed Elidrisi ◽  
Gabriela Vazquez-Benitez ◽  
David M. Vock ◽  
...  
Keyword(s):  
Machine Learning ◽  
Risk Prediction ◽  
Naive Bayes ◽  
Naïve Bayes ◽  
Learning Approach ◽  
Event Data ◽  
Time To Event ◽  
Time To Event Data ◽  
Machine Learning Approach

scholarly journals Improved cardiovascular risk prediction in patients with end-stage renal disease on hemodialysis using machine learning modeling and circulating microribonucleic acids

Theranostics ◽  
2020 ◽  
Vol 10 (19) ◽  
pp. 8665-8676
Author(s):  
David de Gonzalo-Calvo ◽  
Pablo Martínez-Camblor ◽  
Christian Bär ◽  
Kevin Duarte ◽  
Nicolas Girerd ◽  
...  
Keyword(s):  
Machine Learning ◽  
Cardiovascular Risk ◽  
Renal Disease ◽  
Risk Prediction ◽  
End Stage Renal Disease ◽  
Cardiovascular Risk Prediction ◽  
Stage Renal Disease ◽  
End Stage
Sign in / Sign up

Export Citation Format

Share Document