Electives

The focus of this course is to equip students with the knowledge of decision analysis and decision-making with application in the medical domain, e.g. medical diagnosis. Students will be exposed to both theoretical understanding and practical knowledge. This will help students interested in medical applications of computer science to acquire the requisite skills in medical informatics. Such students will have the opportunity to work in the medical environment, research and software development industry.

Learning Outcome

At the end of the course, students will have a good knowledge of decision analysis and decision-making as it relates to medical domain.

The topics to be covered will include

1.     Introduction to decision support system

2.     structuring decision problems

3.     developing creative decision options,

4.     quantifying uncertainty and preferences, and combining them to arrive at optimal decisions.

5.     Application of methods of decision analysis to decision support systems and intelligent systems.

6.     Familiarization with graphical display of medical information,

7.     decision analysis and modeling,

8.     evidence-based medicine, Bayes' theorem,

9.     knowledge-based systems, learning systems,

10.  lexicons, coding and structured data entry,

11.  data mining techniques.