Validation workflow for a clinical Bayesian network model in multidisciplinary decision making in head and neck oncology treatment

Author:

Cypko Mario A.,Stoehr Matthaeus,Kozniewski Marcin,Druzdzel Marek J.,Dietz Andreas,Berliner Leonard,Lemke Heinz U.

Funder

Bundesministerium für Bildung und Forschung

Publisher

Springer Science and Business Media LLC

Subject

Health Informatics,Radiology Nuclear Medicine and imaging,General Medicine,Surgery,Computer Graphics and Computer-Aided Design,Computer Science Applications,Computer Vision and Pattern Recognition,Biomedical Engineering

Reference20 articles.

1. Chatenoud L, GaravelloW Pagan E, Bertuccio P, Gallus S, La Vecchia C, Negri E, Bosetti C (2016) Laryngeal cancermortality trends in European countries. Int J Cancer 138(4):833–842. doi: 10.1002/ijc.29833

2. Cypko MA, Hirsch D, Koch L, Stoehr M, Strauss G, K D (2015) Web-tool to support medical experts in probabilistic modelling using large Bayesian networks with an example of rhinosinusitis. Stud Health Technol Inform 216:259–263

3. Cypko MA, Stoehr M, Denecke K (2015) Web-based guiding of clinical experts through the modelling of treatment decision models using MEBN with an example of laryngeal cancer. Int J CARS 10(1):163–164

4. Cypko MA, Stoehr M, Denecke K, Dietz A, Lemke HU (2014) User interaction with MEBNs for large patient-specific treatment decision models with an example for laryngeal cancer. In: Proceeding of the 28th conference for computer assisted radiology and surgery. Fukuoka, Japan

5. DeGroot MH, Fienberg SE (1983) The comparison and evaluation of forecasters. J Roy Stat Soc. Series D (The Statistician) 32(1/2):12–22

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