A hospital manager wants to predict how many beds will be needed in the geriatric ward...
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A hospital manager wants to predict how many beds will be needed in the geriatric ward the next week. She asks you to design a neural network for making this prediction. She has weekly data for the last five years that cover: ● The number of people in the geriatric ward each week. The weather (average day and night temperatures). • The season of the year (spring, summer, autumn, winter). . Whether or not there was an epidemic on. (a) Design a suitable neural network for this problem, considering how you would set up the input data and the output data, as well as the preprocessing of the data. What kind of problem is this? How many hidden layers and nodes in each layer would you choose? Do you expect the system to work? (b) How would you change this network if you were required to predict one of the following outcomes: the hospital is under full, the hospital is over full, or the hospital is at capacity. A hospital manager wants to predict how many beds will be needed in the geriatric ward the next week. She asks you to design a neural network for making this prediction. She has weekly data for the last five years that cover: ● The number of people in the geriatric ward each week. The weather (average day and night temperatures). • The season of the year (spring, summer, autumn, winter). . Whether or not there was an epidemic on. (a) Design a suitable neural network for this problem, considering how you would set up the input data and the output data, as well as the preprocessing of the data. What kind of problem is this? How many hidden layers and nodes in each layer would you choose? Do you expect the system to work? (b) How would you change this network if you were required to predict one of the following outcomes: the hospital is under full, the hospital is over full, or the hospital is at capacity.
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The most hospital admissions for elderly are seen for the age of 65 or aboveMany elderly are hospita... View the full answer
Related Book For
Introduction to Management Science A Modeling and Cases Studies Approach with Spreadsheets
ISBN: 978-0078024061
5th edition
Authors: Frederick S. Hillier, Mark S. Hillier
Posted Date:
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