Cargando…
Predicting non-attendance in hospital outpatient appointments using deep learning approach
The hospital outpatient non-attendance imposes a substantial financial burden on hospitals and roots in multiple diverse reasons. This research aims to build an advanced predictive model for predicting non-attendance regarding the whole spectrum of probable contributing factors to non-attendance tha...
Autores principales: | Dashtban, M., Li, Weizi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9487947/ https://www.ncbi.nlm.nih.gov/pubmed/36147556 http://dx.doi.org/10.1080/20476965.2021.1924085 |
Ejemplares similares
-
Non‐attendance at outpatient clinic appointments by children with cerebral palsy
por: Paget, Simon P., et al.
Publicado: (2022) -
Outcome of Did Not Attend Outpatient Appointment
por: Saleh, Kalsum, et al.
Publicado: (2022) -
Reducing non-attendance in outpatient appointments: predictive model development, validation, and clinical assessment
por: Valero-Bover, Damià, et al.
Publicado: (2022) -
Machine Learning Predictions on Outpatient No-Show Appointments in a Malaysia Major Tertiary Hospital
por: Ahmad Hamdan, Abdullah Fahim, et al.
Publicado: (2023) -
Effect of Text Messaging on Bowel Preparation and Appointment Attendance for Outpatient Colonoscopy: A Randomized Clinical Trial
por: Mahmud, Nadim, et al.
Publicado: (2021)