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1.
Stud Health Technol Inform ; 305: 36-39, 2023 Jun 29.
Article in English | MEDLINE | ID: mdl-37386951

ABSTRACT

Predicting waiting times in A&E is a critical tool for controlling the flow of patients in the department. The most used method (rolling average) does not account for the complex context of the A&E. Using retrospective data of patients visiting an A&E service from 2017 to 2019 (pre-pandemic). An AI-enabled method is used to predict waiting times in this study. A random forest and XGBoost regression methods were trained and tested to predict the time to discharge before the patient arrived at the hospital. When applying the final models to the 68,321 observations and using the complete set of features, the random forest algorithm's performance measurements are RMSE=85.31 and MAE=66.71. The XGBoost model obtained a performance of RMSE=82.66 and MAE=64.31. The approach might be a more dynamic method to predict waiting times.


Subject(s)
Hospitals , Waiting Lists , Humans , Retrospective Studies , Pandemics , Patient Discharge
3.
J Phys Act Health ; 13(11 Suppl 2): S129-S136, 2016 11.
Article in English | MEDLINE | ID: mdl-27848732

ABSTRACT

BACKGROUND: Physical activity (PA) is vital to the holistic development of young people. Regular participation in PA is associated with substantial benefits for health, cognitive function, and social inclusion. Recognizing the potential of PA in the context of the current peace process in Colombia, the purpose of this article is to present the methodology and results of Colombia's second Report Card on PA for children and youth. METHODS: A group of experts on PA graded 14 PA indicators based on data from national surveys and policy documents. RESULTS: National and departmental policy indicators received a grade of B, while organized sport participation, overweight, obesity, community influence, and nongovernment initiatives indicators received a grade of C. Overall PA levels, active transportation, sedentary behaviors, and school influence received a grade of D. Active play, low physical fitness, and family influence received an Incomplete grade. CONCLUSIONS: PA levels are low and sedentary behaviors are high in Colombian children and youth, with notable geographic differences. A broad policy framework translated into specific actions could provide unique opportunities to bridge the gap between knowledge and practice, and contribute to social integration goals in a postconflict setting.


Subject(s)
Exercise , Health Promotion/organization & administration , Motor Activity , Program Evaluation/methods , Adolescent , Child , Colombia , Consumer Advocacy , Environment Design , Female , Health Behavior , Health Policy , Health Surveys/methods , Humans , Male , Obesity , Overweight , Physical Fitness , Play and Playthings , Residence Characteristics , Schools , Sedentary Behavior , Social Conditions , Sports
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