1. Using an example and a diagram explain how Bayesian networks could be used to implement personalized …

1. Using an example and a diagram explain how Bayesian networks could be used to implement personalized medicine in terms of drug selection and dosing. (30 Points)
2. Using an example explain how rules and expressions can be used to provide alerts on identifying if a patient is suffering from COVID-19. (20 points)
Note: The student will score a zero for question 2 and 3 if the expected examples are not provided.

Please note that all submissions have to be made on canvas in the submission box provided for homework 2. The answers provided must be as detailed as possible. The submission must be in the form of a single .doc/.docx file. The visio/concept map diagrams developed to indicate the Bayesian network should be embedded into that file.

SAMPLE SOLUTION

Question 1
A Bayesian network is described as a probabilistic graphical model which helps build models from data or expert opinion. They have found significant utility in detection of anomalies, diagnostics prediction among other applications. In personalized medicine, the goal is to provide optimal drug screening and treatment to patients. If the probability of the symptoms is known, then the network can be relied upon to find the probability of various diseases. Different diseases can be defined by the same symptom and therefore…