Dimensions of Intelligent Analytics for Smart Digital Health Solutions (PDF)
This title demystifies AI and analytics, upskilling individuals (healthcare professionals, hospital managers, consultants, researchers, students, and the population at large) around analytics and AI as it applies to healthcare.
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This title demystifies AI and analytics, upskilling individuals (healthcare professionals, hospital managers, consultants, researchers, students, and the population at large) around analytics and AI as it applies to healthcare.
Freimut Bodendorf earned a degree in computer science at the School of Engineering, University of Erlangen-Nuremberg. He also earned a PhD in information systems. Subsequently, he was head of an IS Department at the University Hospital and Medical School at the University of Freiburg, Germany; professor at the Postgraduate School of Engineering in Nuremberg, Germany; and head of the Department of Computer Science and Information Systems at the University of Fribourg, Switzerland. He also is the head of the research group Management Intelligence Systems of the Institute of Information Systems at the University of Erlangen-Nuremberg. He is a faculty member of the School of Business and Economics as well as the School of Engineering and the School of Natural Sciences. Recently he was appointed to be a Research Fellow of the Fraunhofer Institute IIS, the largest institute in Germany. His scienti¿c work focuses on business intelligence and digital health, including advanced data analytics, responsible arti¿cial intelligence, intelligent assistance, data sharing and federated learning ecosystems. His research projects investigate and create solutions in the ¿elds of digital transformation in healthcare and digital support of individual wellness.
Mathias Kraus is an Assistant Professor for Data Analytics at the Institute for Information Systems, FAU Erlangen-Nürnberg, where he also heads the White-Box AI research group. Prior to this appointment, he was a research assistant at ETH Zurich and the University of Freiburg. In his current role, he develops advances in data analytics with a focus on transparency and reliability in machine learning models. He has made several contributions to the scienti¿c community through his work, which has been published in leading information systems and operations research journals and at prestigious computer science conferences.
- 2024, 448 Seiten, Englisch
- Herausgegeben: Nilmini Wickramasinghe, Freimut Bodendorf, Mathias Kraus
- Verlag: Taylor & Francis
- ISBN-10: 1003849709
- ISBN-13: 9781003849704
- Erscheinungsdatum: 01.03.2024
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: PDF
- Größe: 12 MB
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