Development of Clinical Decision Support Systems using Bayesian Networks With an example of a Multi-Disciplinary Treatment Decision for Laryngeal Cancer /
For the development of clinical decision support systems based on Bayesian networks, Mario A. Cypko investigates comprehensive expert models of multidisciplinary clinical treatment decisions and solves challenges in their modeling. The presented methods, models and tools are developed in close and i...
| Main Author: | |
|---|---|
| Corporate Author: | |
| Language: | English |
| Published: |
Wiesbaden :
Springer Fachmedien Wiesbaden : Imprint: Springer Vieweg,
2020.
|
| Edition: | 1st ed. 2020. |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/978-3-658-32594-7 |
Table of Contents:
- Patient-specific Bayesian Network in a Clinical Environment
- TreLynCa: A Tumor Board Decision Model for Laryngeal Cancer
- Model Validation and Tools for Guided BN Modeling
- GUI for PSBN-based decision verification.