TY  - JOUR 
AU  - Moreno Rodilla, Esther María
AU  - Moreno Rodilla, Vidal
AU  - Laffond Yges, María Elena
AU  - Gracia Bara, María Teresa
AU  - Macías, Eva M
AU  - Curto, Belén
AU  - Campanón, María del Valle
AU  - Arriba Méndez, Sonia de
AU  - Martin García, Cristina
AU  - Dávila González, Ignacio Jesús
PY  - 2020
SN  - 2213-2198
UR  - http://hdl.handle.net/10366/168552
AB  - [EN]An accurate diagnosis of β-lactam (BL) allergy improves the use of antibiotics, increases patients’ safety, and reduces costs to health systems. Nevertheless, it requires skin and drug provocation tests, which are time-consuming and put the...
LA  - eng
KW  - Artificial neural network
KW  - Diagnosis
KW  - beta-lactam antibiotics
KW  - Drug hypersensitivity
KW  - Artificial intelligence
KW  - Predictive models
KW  - Neural Networks (Computer)
KW  - Predictive Value of Tests
KW  - Drug Hypersensitivity
KW  - Allergy and Immunology
KW  - beta-Lactams
TI  - Usefulness of an artificial neural network in the prediction of β-lactam allergy
DO  - 10.1016/J.JAIP.2020.07.010
T2  - The Journal of Allergy and Clinical Immunology: In Practice
VL  - 8
M2  - 2974
ER  -