Machine learning techniques are compared to evaluate their prediction performance for the length of stay (LOS) in patients undergoing appendicitis surgery / Fidecicchi, Andrea; Santalucia, Ida; Triassi, Maria; Improta, Giovanni. - (2025), pp. 29-34. ( 2025 9th International Conference on Medical and Health Informatics) [10.1145/3761712.3761735].

Machine learning techniques are compared to evaluate their prediction performance for the length of stay (LOS) in patients undergoing appendicitis surgery

Fidecicchi, Andrea;Santalucia, Ida;Triassi, Maria;Improta, Giovanni
2025

2025
Machine learning techniques are compared to evaluate their prediction performance for the length of stay (LOS) in patients undergoing appendicitis surgery / Fidecicchi, Andrea; Santalucia, Ida; Triassi, Maria; Improta, Giovanni. - (2025), pp. 29-34. ( 2025 9th International Conference on Medical and Health Informatics) [10.1145/3761712.3761735].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/1043958
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