The aim of the course is to provide students with a basic understanding of the scope and content of the field of
biomedical informatics. Various members of the teaching team will present their specific areas of specialization
within the field during seminars, introducing students to fundamental theoretical knowledge and highlighting
opportunities for scientific work in their respective specializations.
Topics covered in the course include:
• Introduction to Biomedical Informatics
• Bioinformatics
• Evaluation of Healthcare Information Quality
• Decision Support Systems
• Central Nervous System and Sensory Systems
• Current State of Healthcare Digitalization
• Information Systems in Healthcare
• Modern Technologies and Software in Treatment and Prevention
• Introduction to Artificial Intelligence (AI)
• Introduction to Biostatistics (Survival Analysis, Clinical Study Aspects, Non-parametric Methods)
• Methods in Neurophysiology
Last update: Machová Marie, Bc., DiS. (15.08.2024)
Literature - Czech
Povinná:
SHORTLIIFFE, EH, CIMINO, JJ, CHIANG, MF.. Biomedical Informatics 5th edition. London: Springer, 2021, s. ISBN 978-30-3058-720-8.
Zhou, S. Kevin Greenspan, Hayit Shen, Dinggang (eds.). Deep learning for medical image analysis. New York: Academic Press, 2017, 433 s. ISBN 978-0-12-810409-5.
Khoo, Michael C. K.. Physiological control systems : analysis, simulation, and estimation. New York: Institute of Electrical and Electronics Engineers, 2000, 319 s. ISBN 0-7803-3408-6.
. . In Rosner, Bernard. Fundamentals of biostatistics . Belmont, CA: Thomson-Brooks/Cole, 1995, s. -. ISBN 0-534-20940-8..
Pocock, Stuart J.. Clinical trials : a practical approach. Chichester: Wiley & Sons, 1999, 266 s. ISBN 0-471-90155-5.
Last update: Machová Marie, Bc., DiS. (21.08.2024)