LEADER 03190nam 2200481 450 001 996465448603316 005 20210405212644.0 010 $a3-658-32594-1 024 7 $a10.1007/978-3-658-32594-7 035 $a(CKB)5280000000246087 035 $a(MiAaPQ)EBC6417052 035 $a(DE-He213)978-3-658-32594-7 035 $a(PPN)252506316 035 $a(EXLCZ)995280000000246087 100 $a20210405d2020 uy 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDevelopment of clinical decision support systems using Bayesian networks $ewith an example of a multi-disciplinary treatment decision for laryngeal cancer /$fMario A. Cypko 205 $a1st ed. 2020. 210 1$aWiesbaden, Germany :$cSpringer Vieweg,$d[2020] 210 4$dİ2020 215 $a1 online resource (XIX, 148 p. 39 illus., 10 illus. in color.) 311 $a3-658-32593-3 327 $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. 330 $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. 606 $aArtificial intelligence 606 $aComputer Applications 606 $aKnowledge based Systems 615 0$aArtificial intelligence. 615 0$aComputer Applications. 615 0$aKnowledge based Systems. 676 $a006.3 700 $aCypko$b Mario A.$0913751 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996465448603316 996 $aDevelopment of clinical decision support systems using Bayesian networks$92047237 997 $aUNISA