Jorge Acuña

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Correo electrónicojorge.acunauaicl

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Ingeniero Civil Industrial Mención Mecánica, Universidad de La Frontera 2015

Huella digital

Profundizar en los temas de investigación en los que Jorge Acuña está activo. Estas etiquetas de temas provienen de las obras de esta persona. Juntos, forma una huella digital única.

1 Perfiles similares

1 Activo

11260506: A Data-Driven Mathematical Framework to Reduce Non-Prioritized Elective Surgery Waiting Lists in Chile
Acuña, J. (Investigador principal)
Agencia Nacional de Investigación y Desarrollo
1/04/26 → 1/04/29
Proyecto: Investigación

10 Artículo
1 Contribución a la conferencia
1 Comentario/Debate

A sequential machine learning framework for ICU and hospital length of stay prediction from admission-time data
Jafaripakzad, M., Acuña, J. A., Dombrowski, K. & Zayas-Castro, J. L., 1 ene 2026, En: Digital Health. 12
Producción científica: Contribución a una revista › Artículo › revisión exhaustiva

Acceso abierto
Balancing equity and efficiency in kidney allocation: An online adaptive stochastic bi-objective approach
Cantarino, D., Acuna, J. A., Stevens, M., Heide, M. & Zayas-Castro, J. L., 1 may 2026, En: Expert Systems with Applications. 308, 131148.
Producción científica: Contribución a una revista › Artículo › revisión exhaustiva
Bi-objective location-allocation model of interventions in high drug consumption areas incorporating X topic modeling
Palomino, K., Berdugo, C., Acuña, J. & Zayas-Castro, J. L., jun 2026, En: Health Care Management Science. 29, 2, 20.
Producción científica: Contribución a una revista › Artículo › revisión exhaustiva

Acceso abierto
Erratum to “Hospital food management: a multi-objective approach to reduce waste and costs” [Waste Manag. 175 (2024) 12–21, (S0956053X23007481), (10.1016/j.wasman.2023.12.010)]
Arriz-Jorquiera, M., Acuna, J. A., Rodríguez-Carbó, M. & Zayas-Castro, J. L., 30 jul 2026, En: Waste Management. 222, 115606.
Producción científica: Contribución a una revista › Comentario/Debate
Minimizing food waste and costs in hospital environments through a chance-constrained stochastic programming model
Arriz-Jorquiera, M., Acuna, J. A. & Zayas-Castro, J. L., 1 mar 2026, En: Resources, Conservation and Recycling. 227, 108720.
Producción científica: Contribución a una revista › Artículo › revisión exhaustiva

Researchers from University of South Florida Provide Details of New Studies and Findings in the Area of Education (Building inclusive excellence in STEM: a 15-year analysis and Lessons Learned of the Alfred P. Sloan Foundation Minority Ph.D. ...)
Acuña, J.
30/10/23
1 elemento de Cobertura del medio de comunicación
Prensa/medios de comunicación

Jorge Acuña, PhD

Perfil personal

Intereses de Investigación

Palabras Claves

Profesión

Huella digital

Colaboraciones y áreas de investigación principales de los últimos cinco años

Ver detalles

11260506: A Data-Driven Mathematical Framework to Reduce Non-Prioritized Elective Surgery Waiting Lists in Chile

A sequential machine learning framework for ICU and hospital length of stay prediction from admission-time data

Balancing equity and efficiency in kidney allocation: An online adaptive stochastic bi-objective approach

Bi-objective location-allocation model of interventions in high drug consumption areas incorporating X topic modeling

Erratum to “Hospital food management: a multi-objective approach to reduce waste and costs” [Waste Manag. 175 (2024) 12–21, (S0956053X23007481), (10.1016/j.wasman.2023.12.010)]

Minimizing food waste and costs in hospital environments through a chance-constrained stochastic programming model

Researchers from University of South Florida Provide Details of New Studies and Findings in the Area of Education (Building inclusive excellence in STEM: a 15-year analysis and Lessons Learned of the Alfred P. Sloan Foundation Minority Ph.D. ...)

Jorge Acuña, PhD

Perfil personal

Intereses de Investigación

Palabras Claves

Profesión

Huella digital

Colaboraciones y áreas de investigación principales de los últimos cinco años

Proyectos

11260506: A Data-Driven Mathematical Framework to Reduce Non-Prioritized Elective Surgery Waiting Lists in Chile

Producción científica

A sequential machine learning framework for ICU and hospital length of stay prediction from admission-time data

Balancing equity and efficiency in kidney allocation: An online adaptive stochastic bi-objective approach

Bi-objective location-allocation model of interventions in high drug consumption areas incorporating X topic modeling

Erratum to “Hospital food management: a multi-objective approach to reduce waste and costs” [Waste Manag. 175 (2024) 12–21, (S0956053X23007481), (10.1016/j.wasman.2023.12.010)]

Minimizing food waste and costs in hospital environments through a chance-constrained stochastic programming model

Prensa/Medios de comunicación

Researchers from University of South Florida Provide Details of New Studies and Findings in the Area of Education (Building inclusive excellence in STEM: a 15-year analysis and Lessons Learned of the Alfred P. Sloan Foundation Minority Ph.D. ...)