13M051SOM - Decision Making Systems in Medicine
Course specification | ||||
---|---|---|---|---|
Course title | Decision Making Systems in Medicine | |||
Acronym | 13M051SOM | |||
Study programme | Electrical Engineering and Computing | |||
Module | ||||
Type of study | master academic studies | |||
Lecturer (for classes) | ||||
Lecturer/Associate (for practice) | ||||
Lecturer/Associate (for OTC) | ||||
ESPB | 6.0 | Status | elective | |
Condition | none | |||
The goal | The objective of the course is to enable students to master methods for extraction and selection of features, advanced statistical and soft-computing techniques in data mining and decision making in the medical domain and regression models, as a very important tool in modeling medical emergencies. | |||
The outcome | Learning outcome of the course is for students to have the skills to select the most informative attributes from a set of all available attributes, to design advanced decision-making techniques such as Bayes networks and Markov models, and to master methods for modeling the impact of various parameters monitored in medical research. | |||
Contents | ||||
URL to the subject page | https://automatika.etf.bg.ac.rs/sr/13m051som | |||
Contents of lectures | Theoretical basics and application of advanced techniques in the medical domain: Methods for extraction and selection of features. The method of carrier vectors. Bayes Network. Markov's models. Neuro-fuzzy systems. Models of linear and logistical refreshes. | |||
Contents of exercises | mastering software support for the implementation of methods for extraction and selection of attributes, implementation of decision-making methods, and the formation of appropriate regression models. | |||
Literature | ||||
| ||||
Number of hours per week during the semester/trimester/year | ||||
Lectures | Exercises | OTC | Study and Research | Other classes |
3 | 1 | 1 | ||
Methods of teaching | Lectures (45), auditory exercises (15) and computer exercises (15). | |||
Knowledge score (maximum points 100) | ||||
Pre obligations | Points | Final exam | Points | |
Activites during lectures | 0 | Test paper | 70 | |
Practical lessons | 0 | Oral examination | 0 | |
Projects | 30 | |||
Colloquia | 0 | |||
Seminars | 0 |