2026-06-01T06:39:43Zhttps://riuma.uma.es/rest/oai/request

oai:riuma.uma.es:10630/362472026-03-06T09:17:41Zcom_10630_2254col_10630_37959

00925njm 22002777a 4500 dc Martín, Cristobal author Ballesteros-Gómez, Joaquín author Cosano Ramos, Arturo author Rondón-García, Luis Miguel author 2024-12-21 Dependency, defined as the need for assistance in daily activities due to physical or cognitive limitations, is a crucial concern in healthcare and social services. Accurately appraising dependency levels is essential for allocating resources, planning care, and enhancing the quality of life for individuals needing support. This work details developing a system to assess and predict individuals’ dependency levels through an optimized survey. Initially, a comprehensive scale with 26 items was created by social work experts and tested with 210 users with three different dependency levels recognized and 40 without any dependency. A machine learning technique has been used to find a reduced set of items that predict the dependency level accurately. The results classify the fourth class with 91 % accuracy using only nine items. This system has been deployed and tested in a web application, so other systems or persons can use it to predict the individuals’ dependency levels online. Martin, C., Ballesteros, J., Cosano, A., Rondón, L.M. (2024). What Is Your Dependency Level? A System to Evaluate Individual Dependency Levels Depending on the Social Context and Physical Activity. In: Bravo, J., Nugent, C., Cleland, I. (eds) Proceedings of the International Conference on Ubiquitous Computing and Ambient Intelligence (UCAmI 2024). UCAmI 2024. Lecture Notes in Networks and Systems, vol 1212. Springer, Cham. https://doi.org/10.1007/978-3-031-77571-0_34 https://hdl.handle.net/10630/36247 Personas con discapacidad Asistencia social What Is Your Dependency Level? A System to Evaluate Individual Dependency Levels Depending on the Social Context and Physical Activity