Cypko Development of Clinical Decision Support Systems using Bayesian Networks

With an example of a Multi-Disciplinary Treatment Decision for Laryngeal Cancer
1. Auflage 2020
ISBN: 978-3-658-32594-7
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 148 Seiten, eBook

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 intensive cooperation between knowledge engineers and clinicians. In the course of this study, laryngeal cancer serves as an exemplary treatment decision. The reader is guided through a development process and new opportunities for research and development are opened up: in modeling and validation of workflows, guided modeling, semi-automated modeling, advanced Bayesian networks, model-user interaction, inter-institutional modeling and quality management.

Zielgruppe

Research

Autoren/Hrsg.

Cypko, Mario A.

Inhaltsverzeichnis

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.

Über Autor(innen)

Dr.-Ing. Mario A. Cypko completed his PhD at the Computer Science department of the University of Leipzig, Germany. He was a postdoctoral research fellow in the Human Research Office of the European Space Agency in the Netherlands. He is currently a postdoctoral research assistant at the German Heart Center Berlin, Germany.