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| 001 | 978-3-658-32594-7 | ||
| 003 | DE-He213 | ||
| 005 | 20240423125325.0 | ||
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| 008 | 201130s2020 gw | s |||| 0|eng d | ||
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_a9783658325947 _9978-3-658-32594-7 |
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| 024 | 7 |
_a10.1007/978-3-658-32594-7 _2doi |
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| 050 | 4 | _aQ387-387.5 | |
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_aCypko, Mario A. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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| 245 | 1 | 0 |
_aDevelopment of Clinical Decision Support Systems using Bayesian Networks _h[electronic resource] : _bWith an example of a Multi-Disciplinary Treatment Decision for Laryngeal Cancer / _cby Mario A. Cypko. |
| 250 | _a1st ed. 2020. | ||
| 264 | 1 |
_aWiesbaden : _bSpringer Fachmedien Wiesbaden : _bImprint: Springer Vieweg, _c2020. |
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| 300 |
_aXIX, 148 p. 39 illus., 10 illus. in color. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 505 | 0 | _aPatient-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. | |
| 520 | _aFor 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. 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 Target Groups Scientists and students in the field of medical informatics, computer science, medicine and psychology About the Author 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. | ||
| 650 | 0 | _aExpert systems (Computer science). | |
| 650 | 0 | _aApplication software. | |
| 650 | 0 | _aArtificial intelligence. | |
| 650 | 0 | _aQuality of life. | |
| 650 | 1 | 4 | _aKnowledge Based Systems. |
| 650 | 2 | 4 | _aComputer and Information Systems Applications. |
| 650 | 2 | 4 | _aArtificial Intelligence. |
| 650 | 2 | 4 | _aQuality of Life Research. |
| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783658325930 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783658325954 |
| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-658-32594-7 |
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| 942 | _cSPRINGER | ||
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_c176695 _d176695 |
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