Using an example explain how Bayesian networks could be used to implement personalized medicine in terms of drug selection and dosing.

Using an example explain how Bayesian networks could be used to implement personalized medicine in terms of drug selection and dosing.

1. Using a neat diagram identify a Bayesian network that can be used to identify if a patient is affected by diabetes (50 points). (Hint: The Bayesian network diagram could be developed using MS Visio or IHMC CMap Tools, a freely downloadable tool)

2. Using an example explain how Bayesian networks could be used to implement personalized medicine in terms of drug selection and dosing. (30 Points)

3. Using an example explain how rules and expressions can be used to provide alerts on drug usage for an individual patient. (20 points)


 

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The post Using an example explain how Bayesian networks could be used to implement personalized medicine in terms of drug selection and dosing. appeared first on Term Paper Tutors.

The post Using an example explain how Bayesian networks could be used to implement personalized medicine in terms of drug selection and dosing. first appeared on Term Paper Tutors.

 

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