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Predicting Post-Operative Length of Stay after Robotic Urol..:
, In:
Proceedings of the 2023 7th International Conference on Medical and Health Informatics
,
D'Amore, Antonio
;
D'Onofrio, Gaetano
;
Fidecicchi, Andrea
.. - p. 188-191 , 2023
Link:
https://dl.acm.org/doi/10.1145/3608298.3608333
RT T1 <cTitle>Proceedings of the 2023 7th International Conference on Medical and Health Informatics</cTitle>: T1 <Title>Predicting Post-Operative Length of Stay after Robotic Urologic Surgery from Hospital Stay Characteristics: A Monocentric Study</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3608333&Exemplar=1&LAN=DE A1 D'Amore, Antonio A1 D'Onofrio, Gaetano A1 Fidecicchi, Andrea A1 Triassi, Maria A1 Marino, Marta Rosaria PB ACM YR 2023 K1 Computing methodologies K1 Applied computing K1 Life and medical sciences K1 Consumer health K1 Health care information systems K1 Health informatics K1 Computer systems organization K1 Embedded and cyber-physical systems K1 Robotics SP 188 OP 191 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3608298.3608333 DO https://dl.acm.org/doi/10.1145/3608298.3608333 SF ELIB - SuUB Bremen
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