Recursive neural networks in hospital bed occupancy forecasting
نویسندگان
چکیده
منابع مشابه
AIDS and hospital bed occupancy: an overview.
In several countries of sub-Saharan Africa more than 10% of the adult population are infected with HIV, while in large towns such as Kampala, Lusaka, Blantyre, Kigali and Harare this proportion exceeds 25%. One of the most obvious consequences is the increased occupancy of hospital beds by patients with HIV infection, perhaps to the exclusion of patients with other ailments. This paper gives an...
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Timely access to safe hospital care remains a major concern. Target bed-occupancy rates have been proposed as a measure of the ability of a hospital to function safely and effectively. High bed-occupancy rates have been shown to be associated with greater risks of hospital-associated infection and access block and to have a negative impact on staff health. Clinical observational data have sugge...
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STUDY OBJECTIVE The aim was to evaluate the current approach to forecasting hospital bed requirements. DESIGN The study was a time series and regression analysis. The time series for mean duration of stay for general surgery in the age group 15-44 years (1969-1982) was used in the evaluation of different methods of forecasting future values of mean duration of stay and its subsequent use in t...
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Over the last decade or so, artificial neural networks (ANNs) have become one of the most promising tools formodelling hydrological processes such as rainfall runoff processes. However, the employment of a single model doesnot seem to be an appropriate approach for modelling such a complex, nonlinear, and discontinuous process thatvaries in space and time. For this reason, this study aims at de...
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ژورنال
عنوان ژورنال: BMC Medical Informatics and Decision Making
سال: 2019
ISSN: 1472-6947
DOI: 10.1186/s12911-019-0776-1