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1 Ergebnisse
1
Predicting high health-cost users among people with cardiov..:
N Nghiem
;
J Atkinson
;
Binh Nguyen
..
doi:10.25455/wgtn.24531409. , 2023
Link:
https://doi.org/10.25455/wgtn.24531409
RT Journal T1
Predicting high health-cost users among people with cardiovascular disease using machine learning and nationwide linked social administrative datasets
UL https://suche.suub.uni-bremen.de/peid=base-ftvictoriauwfig:oai:figshare.com:article_24531409&Exemplar=1&LAN=DE A1 N Nghiem A1 J Atkinson A1 Binh Nguyen A1 A Tran-Duy A1 N Wilson YR 2023 K1 Applied economics K1 Health sciences K1 Health services and systems K1 Public health K1 Machine learning K1 High-cost users K1 CVD cost prediction K1 Health and social administrative data K1 New Zealand K1 4206 Public Health K1 42 Health Sciences K1 Basic Behavioral and Social Science K1 Cardiovascular K1 Behavioral and Social Science K1 Health Services K1 Prevention K1 Clinical Research K1 Heart Disease K1 Generic health relevance K1 3 Good Health and Well Being K1 4203 Health services and systems K1 3801 Applied economics JF doi:10.25455/wgtn.24531409 LK http://dx.doi.org/https://doi.org/10.25455/wgtn.24531409 DO https://doi.org/10.25455/wgtn.24531409 SF ELIB - SuUB Bremen
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