Background and Position
Mario Cypko studied Computer Science at the Freie Universität of Berlin, Germany. During his studies he already worked for ICCAS as a student assistant and graduated in 2013 with his major in medical informatics. Directly after his study, Mario Cypko joined the ICCAS institute in the group Digital Patient Model (DPM).
- Digital Patient Model
- Multi-Entity Bayesian Network
- Model visualization
ICCAS – Digital Patient Modeling Group – Mario Cypko
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eHealth-enabled Health, S. 259–263, IOS Press, 2015, ISBN: 978-1-61499-563-0, (PubMed- PMID: 26262051).
Experiences with Expert-based Probabilistic Modelling of Treatment Decisions unsing Baesian Networks – with an Example of Rhinosinusitis Sonstige
Web-based guiding of clinical experts through the modelling of treatment decision models using MEBN with an example of laryngeal cancer Artikel
Int J CARS, 10 (1), 2015.
A Concept for Semi-Automatic Generation of Digital Patient Models. Inproceedings
48th Annual Conference of the German Society for Biomedical Engineering (DGBMT), Hannover, 2014.
User interfaces for patient-specific treatment - decision models using MEBN. Inproceedings
Medicine Meets Virtual Reality, Manhatten Beach, USA, 2014.
User interaction with MEBNs for large patient-specific treatment decision models with an example for laryngeal cancer Inproceedings
International Congress of Computer Assisted Radiology and Surgery (CARS), Fukuoka, Japan, 2014.
User interaction with MEBNs for large patient-specific treatment decision models with an example for laryngeal cancer. Artikel
Int J Comput Assist Radiol Surg, 9 (Suppl 1), 2014.
Stud Health Technol Inform, 196 , S. 248–251, 2014.
A model of the decision-making process: therapy of laryngeal cancer. Artikel
Int J Comput Assist Radiol Surg, 9 (Suppl 1), S. 217–218, 2014.
A Concept for Semi-Automatic Generation of Digital Patient Models. Artikel
Biomed Tech, 59 (1), S. 754–757, 2014.