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- W4386885909 abstract "The COVID-19 pandemic has created a shortage of ICU beds and ambulances in Sri Lankan hospitals, leading to overcrowding and patient discomfort. There is a pressing need for diverse data and information to make swift decisions and ensure efficient patient transfers amid the limited availability of ICU beds and ambulances. Ambulances are primarily owned by private hospitals in urban areas, while many hospitals in Sri Lanka lack sufficient ICU beds and facilities. To address these challenges, a proposed mobile platform aims to forecast ICU bed requirements by connecting all government hospitals and ambulances. Powered by AI and utilizing machine learning models, the platform predicts the number of beds needed and records comprehensive ICU-related data. This solution improves the efficiency of medical staff, reduces the risk for critically ill patients, and ultimately lowers the mortality rate, driving the paradigm shift towards achieving Health 4.0 in the healthcare operation model." @default.
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- W4386885909 date "2023-08-25" @default.
- W4386885909 modified "2023-09-27" @default.
- W4386885909 title "A Mobile Application that Employs Artificial Intelligence to Forecast the Required Number of Beds for Intensive Care Units in Sri Lanka" @default.
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- W4386885909 doi "https://doi.org/10.1109/iciis58898.2023.10253548" @default.
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