Functional prototype for estimating surgery rooms’ usage time with data mining techniques

The goal of this project is to create a stand-alone prototype for optimizing operating room administration utilizing data mining techniques. The project will collect historical data on operating room utilization and train a machine-learning model that can forecast the time required for each type of surgical operation using a data-driven approach. The model proposed originates from the analysis of different data management algorithms in order to obtain different approaches to the same problem and to validate the accuracy and reliability of these algorithms in the surgery time optimization.

• Autores: Amado Cáceres, Daniel Fernando
• Tipo de recurso: Trabajo de grado de pregrado
• Fecha de publicación: 2023
• Institución: Universidad Autónoma de Bucaramanga - UNAB
• Repositorio: Repositorio UNAB
• Idioma: spa
• OAI Identifier: oai:repository.unab.edu.co:20.500.12749/23309
• Acceso en línea: http://hdl.handle.net/20.500.12749/23309
• Palabra clave: Systems engineer; Technological innovations; Operating room; Usage time; Scheduling; Data mining; Data analysis; Machine learning; Algorithms; Surgery; Ingeniería de sistemas; Innovaciones tecnológicas; Minería de datos; Aprendizaje automático; Algoritmos; Cirugía; Quirófano; Tiempo de uso; Programación lineal; Análisis de datos
• License: http://creativecommons.org/licenses/by-nc-nd/2.5/co/