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Mark Pieroni
Mark Pieroni
Liverpool John Moores University
Bestätigte E-Mail-Adresse bei 2018.ljmu.ac.uk
Titel
Zitiert von
Zitiert von
Jahr
How machine learning is impacting research in atrial fibrillation: implications for risk prediction and future management
I Olier, S Ortega-Martorell, M Pieroni, GYH Lip
Cardiovascular Research 117 (7), 1700-1717, 2021
502021
In-hospital mortality of sepsis differs depending on the origin of infection: an investigation of predisposing factors
M Pieroni, I Olier, S Ortega-Martorell, BW Johnston, ID Welters
Frontiers in medicine 9, 915224, 2022
112022
Development of a risk prediction model for new episodes of atrial fibrillation in medical-surgical critically ill patients using the AmsterdamUMCdb
S Ortega-Martorell, M Pieroni, BW Johnston, I Olier, ID Welters
Frontiers in cardiovascular medicine 9, 897709, 2022
72022
Machine learning modelling of critical care patients in the Intensive Care Units
M Pieroni
PQDT-Global, 2023
2023
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