Data2Health: Data2Health: Trustworhy data analytics for health care,
- Duration: 09.01.2022 - 10.03.2023
Funding Organization: Ministerium für Wissenschaft und Gesundheit Rheinland Pfalz
Prof. Dr. Maik Kschischo
Koblenz University of Applied Sciences
Data-driven support for clinical decision-making and patient monitoring requires trustworthy analysis of healthcare data. In the research project Data2Health, new approaches to the transmission, provision and predictive analysis of medicakldata are investigated. The University of Koblenz and the Koblenz University of Applied Sciences are cooperating in six jointly supervised doctoral projects. Topics include trustworty AI methods, concrete AI applications in precision medicine (prediction of sentinel and adverse in hospitals and early detection of pressure ulcers) for clinical decision support, trustworthy edge cloud methods and wireless systems in healthcare. These complementary IT approaches are linked in a holistic approach with questions of data sociality and data governance in order to better understand the prerequisites for the acceptance and trustworthiness of data-driven services in healthcare.
AI Focus Areas of the Research Project
Basic Research
- Machine Learning (ML): Artificial Neural Network (ANN), Model Based, Generative Models
- Knowledge-Based Systems: Causality
- Robotics: Control Algorithms