Supplemental material, sj-m-11-dhj-10.1177_20552076221085057 for A COVID-19 forecasting system for hospital needs using ANFIS and LSTM models: A graphical user interface unit by Sajad Shafiekhani, Pey
Original data. The table showed the original data including the number of daily (1/4/2016â 2/10/2016) and monthly (1/2010â 10/2016) new admission inpatients. (XLS 33 kb)
One of the fundamental facts of the environment hospitals face is uncertainty over demand for their services. This uncertainty leads hospitals to hold excess standby capacity to avoid turning away pat
Supplemental material, sj-m-13-dhj-10.1177_20552076221085057 for A COVID-19 forecasting system for hospital needs using ANFIS and LSTM models: A graphical user interface unit by Sajad Shafiekhani, Pey
