Comparison of Machine Learning Techniques for Prediction of Hospitalization in Heart Failure Patients
The present study aims to compare the performance of eight Machine Learning Techniques (MLTs) in the prediction of hospitalization among patients with heart failure, using data from the Gestione Integrata dello Scompenso Cardiaco (GISC) study. The GISC project is an ongoing study that takes place in...
Main Authors: | Giulia Lorenzoni, Stefano Santo Sabato, Corrado Lanera, Daniele Bottigliengo, Clara Minto, Honoria Ocagli, Paola De Paolis, Dario Gregori, Sabino Iliceto, Franco Pisanò |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-08-01
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Series: | Journal of Clinical Medicine |
Subjects: | |
Online Access: | https://www.mdpi.com/2077-0383/8/9/1298 |
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