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Development of Clinical Decision Support Systems using Bayesian Networks

Mario A. Cypko
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      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.
      Format: Paperback / softback CONTRIBUTORS: Mario A. Cypko EAN: 9783658325930 COUNTRY: Germany PAGES: WEIGHT: 454 g HEIGHT: 210 cm
      PUBLISHED BY: Springer Fachmedien Wiesbaden DATE PUBLISHED: 2020-12-01 CITY: GENRE: COMPUTERS / Artificial Intelligence / General, COMPUTERS / Data Science / General, COMPUTERS / Artificial Intelligence / Expert Systems, SOCIAL SCIENCE / Sociology / General WIDTH: 148 cm SPINE:

      Book Themes:

      Personal and public health / health education, Applied computing, Artificial intelligence, Expert systems / knowledge-based systems

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      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.
      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.
      Format: Paperback / softback CONTRIBUTORS: Mario A. Cypko EAN: 9783658325930 COUNTRY: Germany PAGES: WEIGHT: 454 g HEIGHT: 210 cm
      PUBLISHED BY: Springer Fachmedien Wiesbaden DATE PUBLISHED: 2020-12-01 CITY: GENRE: COMPUTERS / Artificial Intelligence / General, COMPUTERS / Data Science / General, COMPUTERS / Artificial Intelligence / Expert Systems, SOCIAL SCIENCE / Sociology / General WIDTH: 148 cm SPINE:

      Book Themes:

      Personal and public health / health education, Applied computing, Artificial intelligence, Expert systems / knowledge-based systems

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      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.

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