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DataSheet1_Identification of high-risk patients for referra..:

Noelia Amador-Fernández ; Shalom I. Benrimoj ; Victoria García-Cárdenas...
doi:10.3389/fphar.2023.1105434.s001. , 2023

Link: https://doi.org/10.3389/fphar.2023.1105434.s001

RT Journal
T1 <Title>DataSheet1_Identification of high-risk patients for referral through machine learning assisting the decision making to manage minor ailments in community pharmacies.PDF</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftfrontimediafig:oai:figshare.com:article_23661615&Exemplar=1&LAN=DE
				
A1 Noelia Amador-Fernández
A1 Shalom I. Benrimoj
A1 Victoria García-Cárdenas
A1 Miguel Ángel Gastelurrutia
A1 Emma L. Graham
A1 Rubén Palomo-Llinares
A1 Julia Sánchez-Tormo
A1 Vicente J. Baixauli Fernández
A1 Elena Pérez Hoyos
A1 Javier Plaza Zamora
A1 Vicente Colomer Molina
A1 Ricardo Fuertes González
A1 Óscar García Agudo
A1 Fernando Martínez-Martínez
YR 2023
K1 Pharmacology
K1 Basic Pharmacology
K1 Clinical Pharmacology and Therapeutics
K1 Clinical Pharmacy and Pharmacy Practice
K1 Pharmaceutical Sciences
K1 Pharmacogenomics
K1 Toxicology (incl. Clinical Toxicology)
K1 Pharmacology and Pharmaceutical Sciences not elsewhere classified
K1 machine learning
K1 community pharmacy services
K1 triage
K1 primary healthcare
K1 general practice
JF doi:10.3389/fphar.2023.1105434.s001
LK http://dx.doi.org/https://doi.org/10.3389/fphar.2023.1105434.s001
DO https://doi.org/10.3389/fphar.2023.1105434.s001
SF ELIB - SuUB Bremen

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