TY - JOUR
KW - Humans
KW - *Electronic Health Records
KW - Unsupervised Machine Learning
KW - England/epidemiology
KW - Hospitalization
KW - *Acute Kidney Injury/epidemiology/diagnosis
KW - Acute kidney injury
KW - Clustering
KW - Phenotypes
KW - Seasonality
AU - H. Bolt
AU - A. Suffel
AU - J. Matthewman
AU - F. Sandmann
AU - L. Tomlinson
AU - R. Eggo
AD - London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK. Hikaru.bolt@lshtm.ac.uk.
London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.
European Centre for Disease Prevention and Control (ECDC), Stockholm, Sweden.
AN - 37558976
BT - BMC Nephrol
C2 - PMC10413486
DO - 10.1186/s12882-023-03269-0
DP - NLM
ET - 2023/08/10
LA - eng
M1 - 1
N1 - 1471-2369
Bolt, Hikaru
Suffel, Anne
Matthewman, Julian
Sandmann, Frank
Tomlinson, Laurie
Eggo, Rosalind
DH_/Department of Health/United Kingdom
Journal Article
Research Support, Non-U.S. Gov't
England
BMC Nephrol. 2023 Aug 9;24(1):234. doi: 10.1186/s12882-023-03269-0.
PY - 2023
SN - 1471-2369
EP - 234
T2 - BMC Nephrol
TI - Seasonality of acute kidney injury phenotypes in England: an unsupervised machine learning classification study of electronic health records
VL - 24
ER -