Development of Clinical Decision Support Systems using Bayesian Networks (eBook)

With an example of a Multi-Disciplinary Treatment Decision for Laryngeal Cancer

Mario A. Cypko (Autor)

eBook Download: PDF

2020 | 1st ed. 2020
XIX, 148 Seiten
Springer Fachmedien Wiesbaden (Verlag)
978-3-658-32594-7 (ISBN)

Infos

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.

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.

Produkt-Details

• Erscheint lt. Verlag: 30.11.2020
• Zusatzinfo: XIX, 148 p. 39 illus., 10 illus. in color.
• Sprache: englisch
• Themenwelt: Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
• Themenwelt: Sozialwissenschaften ► Soziologie
• Schlagworte: Bayesian Network • Cancer Treatment • Clinical Decision Support System • decision models • Guided BN Modeling • Guided modelling and validation • Inter-institutional modelling • Laryngeal cancer • Model-user interaction • Network in a Clinical Environment • PSBN-based decision verification • Semi-automatic modelling • TreLynCa • Tumorboard
• ISBN-10: 3-658-32594-1 / 3658325941
• ISBN-13: 978-3-658-32594-7 / 9783658325947