Antimicrobial Resistance Prediction in Intensive Care Unit for Pseudomonas Aeruginosa using Temporal Data-Driven Models
نویسندگان
چکیده
This work has been partly supported by the Spanish Thematic Network “Learning Machines for Singular Problems and Applications (MAPAS)” (TIN2017-90567-REDT, MINECO/FEDER EU), IDEAI-UPC Consolidated Research Group Grant from Catalan Agency of University Grants (AGAUR, Generalitat de Catalunya) (2017 SGR 574), Science Innovation Ministry Klinilycs (TEC2016-75361-R), AAVis-BMR (PID2019-107768RA-I00) BigTheory (PID2019-106623RB-C41), Institute Health Carlos III (grant DTS 17/00158), Project Ref. F656 financed Rey Juan University, Youth Employment Initiative R&D (TIC-11649) Community Madrid (Spain). Funded action in framework Multiannual Agreement with line 1, “Encouragement Young Phd students investigation” F661 Acronym Mapping-UCI.
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ژورنال
عنوان ژورنال: International Journal of Interactive Multimedia and Artificial Intelligence
سال: 2021
ISSN: ['1989-1660']
DOI: https://doi.org/10.9781/ijimai.2021.02.012