Machine learning illustrates the statistical framework of BMI. The lecture was challenging, but upon review of the the materials, some clarity has been brought to the discussion. I understand from reading that some systems endeavor to eliminate the human component while others incorporate it. And, once again, we can see that Bayesian Theory is sometimes used within the framework. As I always appreciate real examples, I am interested to know that PET scans use cluster analysis in a 3 dimensional image, to distinguish between tissue and blood. I have tried to search for introductory information on the topic of machine language, with little success. Any readings that anyone has found would be appreciated. I will continue my search.
Study Designs by Dr. Petitti was a bit more tangible. Her examples were actual studies and reinforced the designs she discussed. I think she gave an excellent lecture and included some of the most well-known studies. I found her indentification of Kanav's studies as Time Series Design helpful and logical.
Lee
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