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Identifying type 1 / type 2 diabetes in medico-administrati..:

Fuentes, Sonsoles ; Hrzic, Rok ; Haneef, Romana...
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.deman.2023.100137. , 2023

Link: https://cnam.hal.science/hal-04165493

RT Journal
T1 <Title>Identifying type 1 / type 2 diabetes in medico-administrative database to improve health surveillance, medical research and prevention in diabetes: Algorithm development and application</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftccsdartic:oai:HAL:hal-04165493v1&Exemplar=1&LAN=DE
				
A1 Fuentes, Sonsoles
A1 Hrzic, Rok
A1 Haneef, Romana
A1 Kab, Sofiane
A1 Cosson, Emmanuel
A1 Fosse-Edorh, Sandrine
PB HAL CCSD; Elsevier
YR 2023
K1 Machine learning
K1 Algorithm
K1 Type 1 diabetes
K1 Type 2 diabetes and prevalence
K1 [SDV]Life Sciences [q-bio]
K1 [INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]
K1 [INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]
K1 [SDV.AEN]Life Sciences [q-bio]/Food and Nutrition
K1 [SDV.MHEP.EM]Life Sciences [q-bio]/Human health and pathology/Endocrinology and metabolism
K1 [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie
K1 [STAT.ML]Statistics [stat]/Machine Learning [stat.ML]
JF info:eu-repo/semantics/altIdentifier/doi/10.1016/j.deman.2023.100137
LK http://dx.doi.org/https://cnam.hal.science/hal-04165493
DO https://cnam.hal.science/hal-04165493
SF ELIB - SuUB Bremen

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