Nutrition of patients in Intensive Care Units (ICU) is a critical treatment that needs to be optimized according to the specific needs of each patient. This study concerns the problem of optimally mixing commercially available formulas for enteral nutrition to achieve any desired mix of nutrients. The mathematical model has been discussed and improved according to feedback received from physicians in ICUs; it is solved in negligible computing time by a free integer linear programming solver. A software tool has been developed with a user-friendly interface, to allow extending the testing phase to several hospitals; it allows studying the trade-off between different objective functions.

Optimization of Nutrition for Patients in Intensive Care Units / A. Papetti, G. Righini, P.G. Villani (AIRO SPRINGER SERIES). - In: Operations Research: Closing the Gap between Theory and Practice / [a cura di] M. Di Francesco, E. Gorgone, B. Manca, S. Zanda. - [s.l] : Springer, 2026. - ISBN 9783031900945. - pp. 291-298 (( convegno International Conference on Optimization and Decision Science (ODS) : September 8-12 tenutosi a Badesi nel 2024 [10.1007/978-3-031-90095-2_25].

Optimization of Nutrition for Patients in Intensive Care Units

G. Righini
Penultimo
;
P.G. Villani
Ultimo
2026

Abstract

Nutrition of patients in Intensive Care Units (ICU) is a critical treatment that needs to be optimized according to the specific needs of each patient. This study concerns the problem of optimally mixing commercially available formulas for enteral nutrition to achieve any desired mix of nutrients. The mathematical model has been discussed and improved according to feedback received from physicians in ICUs; it is solved in negligible computing time by a free integer linear programming solver. A software tool has been developed with a user-friendly interface, to allow extending the testing phase to several hospitals; it allows studying the trade-off between different objective functions.
Integer linear programming; multi-objective optimization; personalized medicine;
Settore MATH-06/A - Ricerca operativa
2026
Associazione Italiana di Ricerca Operativa (AIRO)
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/1188677
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