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Problem 6 of 8 - A medical eye center is developing a machine learning.docx

Problem 6 of 8 . A medical eye center is developing a machine learning algorithm for detecting the occurrence of glaucoma. The algorithm can correctly detect glaucoma in senior patients with the disease 65% of the time, in middle age patients with the disease 70% of the time, and in young adult patients with the disease 90% of the time. The medical eye center's glaucoma population consists of 22% senior patients, 35% middle age patients, and 43% young adults. 1. (3 points) What percentage of the time does the machine learning algorithm not correctly detect glaucoma in patients seen by the medical eye center with the disease? 2. (5 points) If the machine learning algorithm does not detect a patient with glaucoma has the disease, what is the probability this is a senior patient? 3. (5 points) If the machine learning algorithm does detect glaucoma in a patient with the disease, what is the probability the patient is not a young adult? .

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Problem 6 of 8 . A medical eye center is developing a machine learning algorithm for detecting
the occurrence of glaucoma. The algorithm can correctly detect glaucoma in senior patients with
the disease 65% of the time, in middle age patients with the disease 70% of the time, and in
young adult patients with the disease 90% of the time. The medical eye center's glaucoma
population consists of 22% senior patients, 35% middle age patients, and 43% young adults. 1.
(3 points) What percentage of the time does the machine learning algorithm not correctly detect
glaucoma in patients seen by the medical eye center with the disease? 2. (5 points) If the machine
learning algorithm does not detect a patient with glaucoma has the disease, what is the
probability this is a senior patient? 3. (5 points) If the machine learning algorithm does detect
glaucoma in a patient with the disease, what is the probability the patient is not a young adult?

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