Development of Clinical Decision Support Systems using Bayesian Networks With an example of a Multi Disciplinary Treatment Decision for Laryngeal Cancer 1st Edition by Mario A Cypko ISBN 3658325933 978-3658325930

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Product details:

ISBN 10: 3658325933 

ISBN 13:  978-3658325930

Author: Mario A. Cypko

 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.

Table of contents: 

1. Introduction

2. Tumor Board Decision for Larynx Cancer Patients

3. Development of a Clinical Decision Support System

4. Clinical Decision Model using Bayesian Networks

5. Patient-specific Bayesian Network in a Clinical Environment

6. TreLynCa: A Tumor Board Decision Model for Laryngeal Cancer

7. Model Validation

8. Tools for Guided BN Modeling

9. GUI for PSBN-based Decision Verification

10. Summary

11. Appraisal and Future Work

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Tags: Mario A Cypko, Development, Clinical Decision Support Systems, Bayesian Networks, Example, Multi Disciplinary, Treatment Decision, Laryngeal Cancer