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• W4366966734 abstract "COVID-19 pandemics lead to further shortages of beds globally. Ningbo No.1 Hospital implemented an integrated digital management system to tackle inefficiency in the discharge process, however, this problem is not fully solved. To help the hospital fully address this problem, this article identifies the problems in the hospital’s dataset and proposes a methodology for the machine learning model training in order to predict the patient’s leaving time, which provides a space for the hospital to improve the discharge process when procedures simplify, integration and digitalization are done." @default.
• W4366966734 created "2023-04-26" @default.
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• W4366966734 date "2022-11-01" @default.
• W4366966734 modified "2023-09-23" @default.
• W4366966734 title "Predict Turnaround Time of Hospital Discharge" @default.
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• W4366966734 doi "https://doi.org/10.1109/wi-iat55865.2022.00067" @default.
• W4366966734 hasPublicationYear "2022" @default.
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