Course detail

Computer-Aided Medical Diagnostics

FEKT-MPC-PRMAcad. year: 2020/2021

Not applicable.

Language of instruction

Czech

Number of ECTS credits

5

Guarantor

prof. Ing. Valentine Provazník, Ph.D.

Department

Department of Biomedical Engineering (UBMI)

Learning outcomes of the course unit

Not applicable.

Prerequisites

Not applicable.

Co-requisites

Not applicable.

Planned learning activities and teaching methods

Not applicable.

Assesment methods and criteria linked to learning outcomes

Not applicable.

Course curriculum

1. Computer models for decision making
2. Uncertainty in medical informatics
3. Risk and uncertainty in decision making
4. Rationality in medicine
5. Searching for solutions to problems
6. Graph searching
7. Constraint satisfaction problem
8. Representation of knowledge
9. Inference
10. Propositional and predicate logic
11. Rule-based decision making
12. Logic programming
13. Natural language

Work placements

Not applicable.

Aims

Not applicable.

Specification of controlled education, way of implementation and compensation for absences

Not applicable.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

Mařík, V.: Umělá inteligence 6. Academia 2013. ISBN 978-80-200-2276-9 (CS)
Lažanský, J.: Umělá inteligence 5. Academia 2007. ISBN 978-80-200-1470-2 (CS)
Zvárová, J.: Biomedicínská informatika III.- Systémy pro podporu lékařského rozhodování. Karolinum 2009. ISBN 978-80-246-1732-9 (CS)
Russell, S. J., Norvig, P. Artificial Intelligence: A Modern Approach. Prentice Hall 2010. ISBN 9780136042594. (EN)
O’Regan, G. Propositional and Predicate Logic. Springer, Cham 2017. ISBN 978-3-319-64020-4 (EN)
Panesar, A. Machine Learning and AI for Healthcare. Springer, 2019. ISBN 978-1-4842-3799-1 (EN)

Recommended reading

Not applicable.

Type of course unit

 

Lecture

26 hours, optionally

Teacher / Lecturer

prof. Ing. Valentine Provazník, Ph.D.

Computer-assisted exercise

26 hours, compulsory

Teacher / Lecturer

prof. Ing. Valentine Provazník, Ph.D.