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A hospital manager wants to predict how many beds will be needed in the geriatric ward. He asks you to design a neural network method for making this prediction. He has data for the last 5 years that cover: • The number of people in the geriatric ward each week.

A hospital manager wants to predict how many beds will be needed in the geriatric ward. He asks you to design a neural network method for making this prediction. He has data for the last 5 years that cover: • The number of people in the geriatric ward each week.

Phlebotomy Essentials
Phlebotomy Essentials
6th Edition
ISBN:9781451194524
Author:Ruth McCall, Cathee M. Tankersley MT(ASCP)
Publisher:Ruth McCall, Cathee M. Tankersley MT(ASCP)
Chapter1: Phlebotomy: Past And Present And The Healthcare Setting
Section: Chapter Questions
Problem 1SRQ
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A hospital manager wants to predict how many beds will be needed in the geriatric ward. He asks you to design a neural network method for making this prediction. He has data for the last 5 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 (use a binary variable: yes or no). Design a suitable MLP for this problem, considering how you would choose the number of hidden neurons, the inputs (and whether there are any other inputs you need) and the preprocessing, and whether or not you would expect the system to work.
Transcribed Image Text:A hospital manager wants to predict how many beds will be needed in the geriatric ward. He asks you to design a neural network method for making this prediction. He has data for the last 5 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 (use a binary variable: yes or no). Design a suitable MLP for this problem, considering how you would choose the number of hidden neurons, the inputs (and whether there are any other inputs you need) and the preprocessing, and whether or not you would expect the system to work.
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