Expert Systems and Artificial Intelligence for Medicine

Lecturer:

Tutor:

Supervisor:

Department of Biomedical Informatics

Synopsis:

The course is aimed at providing theoretically deeper knowledge in the area of Expert systems and artificial intelligence in medicine.

Requirements:

Complete the oral examination

Syllabus of lectures:

1.Definition of artificial intelligence. Systems and models, feedback, adaptation.

2.State space, - informed methods (gradient algorithms, A*) and uninformed methods (search to depth and width).

3.Mathematical logic, proofs statements with resolution.

4.Recognition - signature and structural methods, classification, criteria of minimal distance and minimal error.

5.Machine learning, trees of decision.

6.Knowledge and expert systems (diagnostic, planning, hybrid).

7.Distributed artificial intelligence, multi-agent systems, coordination, cooperation, communication.

8.Evolutional computational techniques, genetic algorithms, evolutional programming, genetic programming, grammatical evolution.

9.Neural networks, classifiers, approximations

10.Multilayer perceptronal network, learning methods.

11.Fuzzy systems.

12.Analysis, synthesis and speech processing.

13.Robotics.

Syllabus of tutorials:

1.Implementation of basic methods of state space searching (searching to depth and width, A*).

2.Proofs statements with resolution - work with program 'Otter'.

3.Implementation of classic methods for data classification (mainly k NN and Bayes' classifier).

4.Implementation of a genetic algorithm for solving of optimization tasks.

5.Implementation of a multilayer perceptron network for data classification.

6.Adaptive control of a robotic system.

Study Objective:

The course is aimed at providing theoretically deeper knowledge in the area of Expert systems and artificial intelligence in medicine.

Study materials:

[1] Ales Kubík : inteligentní agenty, tvorba aplikacního software na bázi multiagentovych systému, computer press, 2004

[2] Berka, P.: Dobyvání znalostí z databází. Academia, Praha, 2003

[3] V. Marík a kol.: Umelá inteligence 1-5, Academia

Note:

Further information:

No time-table has been prepared for this course

The course is a part of the following study plans:

• Bakalářský studijní obor Biomedicínská informatika - prezenční (compulsory course)
• Bakalářský studijní obor Biomedicínská informatika - prezenční (compulsory course)