Predicting the risk of emergency admission with machine learning: Development and validation using linked electronic health records
Rahimian, Fatemeh, Salimi-Khorshidi, Gholamreza, Payberah, Amir H., Tran, Jenny, Ayala Solares, Roberto, Raimondi, Francesca, Nazarzadeh, Milad, Canoy, Dexter, Rahimi, Kazem, Sheikh, AzizVolume:
15
Langue:
english
Journal:
PLOS Medicine
DOI:
10.1371/journal.pmed.1002695
Date:
November, 2018
Fichier:
PDF, 1.16 MB
english, 2018