Suppose we know the probabilities of a person having diabetes and a person having retinopathy independent of having diabetes and also we know the conditional probability of a person being diabetic if they have retinopathy. We can calculate the conditional probability of a person having (or getting) retinopathy given that they are diabetic using which formula?

What is the name of the Set Theory method used to tackle decision making problems when uncertainty plays a role?

Given the sets: BLOODTYPES = {A, B, AB} TRANSFUSIONS = {Transfusion1, Transfusion2, Transfusion3} The list of blood types covered by each TRANSFUSIONS element: Transfusion1 = {A, AB} Transfusion2 = {B, AB} Transfusion3 = {AB} What is the set covering of TRANSFUSIONS types to enable transfusions for the complete blood type set?

Assume your CDSS has the following if-then rules: 1. If patient is diabetic     Then Check for retinopathy 2. If check for retinopathy is true     Then schedule eye exam with ophthalmologist Now suppose a new patient comes into the practice and states that they are a diabetic.  This would then fire rule 1’s If part, which in turn would fire rule 2’s If part, which would alert the clinician to schedule an ophthalmology appointment for this new patient. This is an example of what type of rule chaining?

Assume that we are searching a hospital EMR to determine which patients have diabetes or glaucoma, but not both.  Which Boolean logic expression will satisfy this data request.

Assume that a CDSS developer is using both the clinical literature and expert clinician knowledge to build a knowledge base for a new CDSS.  What is a problem identified in the text for relying on expert opinion to drive the CDSS’s decisions?

According to Chapter 2 in the text, for knowledge-based CDSS systems, what is the most significant bottleneck in maintenance?

For the sets: SET1 = {abdominal pain, nausea, jaundice} SET2 = {diabetes, food poisoning, flu} SET3 = {runny nose, fever, nausea} SET4 = {low blood sugar, fever, diaphoresis, dizziness, runny nose} What is the intersection of Set 1 ∩ ( Set 4 ∩ Set 3 )?

For the sets: SET1 = {abdominal pain, nausea, jaundice} SET2 = {diabetes, food poisoning, flu} SET3 = {runny nose, fever, nausea} SET4 = {fever, diaphoresis, dizziness, runny nose} What is the union of: Set 1 U ( Set 4 U Set 3 )?

In one of the tricarboxylic acid cycle the number of NADH formed is