Medical Informatics

Data

Official data in SubjectManager for the following academic year: 2020-2021

Course director

Number of hours/semester

lectures: 6 hours

practices: 6 hours

seminars: 0 hours

total of: 12 hours

Subject data

  • Code of subject: OAE-OIN-T
  • 1 kredit
  • General Medicine
  • Elective modul
  • spring
Prerequisites:

OAA-MET-T completed

Course headcount limitations

min. 1 – max. 18

Topic

Medical Informatics is a multidisciplinary topic
Storage. database indexing, sampling (Shannon), data compression, encryption, modeling, biometric identification, highlighting the essence, image processing and interpretation, evaluation of EEG and ECG signals, filters, neural networks, learning systems, expert systems, patient management, BNO code.
The goal is: not only to accept and apply the new methods and results but be able to understand the common basics and use them for further developments.

Lectures

  • 1. The topics of medical Informatics, a historical overview, constraints of development and chances to break through - Dr. Pótó László
  • 2. Basic concepts of Information, sampling, digitalization, coding - Dr. Pótó László
  • 3. Security issues, handling of personal data, data search, indexing - Dr. Pótó László
  • 4. Application aspects of data compression - Dr. Pótó László
  • 5. Modeling processes, system controls. Intelligent signal processing in medical praxis. - Dr. Pótó László
  • 6. Big data processing - application to Medical Decision Making. Expert systems, summary overview - Dr. Pótó László

Practices

  • 1. Examples for the lecture topics, Structure of a motherboard
  • 2. Examples for the lecture topics,
  • 3. Demonstration of some data compression methods
  • 4. Examples of control-systems: stability and dynamics
  • 5. Presentation of some diagnostic applications
  • 6. Application of biofeedback method in therapy, closing test

Seminars

Reading material

Obligatory literature

Literature developed by the Department

On the CD

Notes

Recommended literature

On the CD

Conditions for acceptance of the semester

Max 1 lesson absence

Mid-term exams

Active participation on the classes.

Making up for missed classes

One extra class, One consultation possible

Exam topics/questions

Last week: A short test for refreshing the most important topics.

Examiners

Instructor / tutor of practices and seminars

  • Dr. Pótó László