Reference no: EM133862530

Assignment:

A challenge in applying MDPs is that they require a data-intensive estimation step to generate reasonable transition and observation models. Large state/action spaces are also computationally expensive to solve, particularly in partially observable settings, and must adhere to specific Markov assumptions that the current time point (t) is dependent only on the previous time point (t - 1). Careful formulation of the problem and state space is necessary to handle such issues 4,6.

1. What false-positive factors could cause ketone bodies to appear in the urine in a non-diabetic patient?

2. Why is tetanus not seen in a diabetic foot wound?

3. Can impaired glucose tolerance cause recurrent lower motor facial palsy?

4. Can long-term diabetes mellitus cause vertigo not accompanied by other brainstem signs?

5. We know that type 2 diabetes mellitus provokes left ventricular diastolic dysfunction. Does chronic stable angina, associated with type 2 diabetes mellitus, further increase the prevalence of left ventricular diastolic dysfunction?

6. Is there adequate evidence for choosing an angiotensin-converting enzyme (ACE) inhibitor or antagonist for the initial management of raised blood pressure in type 2 diabetes, or is it now advisable to choose any tolerated antihypertensive?

7. Why is there immunosuppression in diabetes?

8. Dextrose infusion in quinine induced hypoglycaemia causes more hypoglycaemia, so what is to be used?

9. Does the serum cholesterol level rise with age?

10. Please explain the significance of having normal total high-density lipoprotein (HDL) and low-density lipoprotein (LDL) cholesterol but a raised lipoprotein (a) [Lp(a)] in a normotensive, non-smoking patient?