Background ACR introduces and discusses current scientific topics in context recognition (i.e. identifying and describing a situation or state of the environment in the computer) from sensor data, including time series data and image data. Each term, new projects and medical applications are off... Continue

Background It is considered impossible to know the maximum possible learning performance of a machine learning (ML) algorithm on a given dataset before running the algorithm. The performance of an ML algorithm depends on many factors, such as the quality and size of the data, the complexity of t... Continue

Background It is considered impossible to know the maximum possible learning performance of a machine learning (ML) algorithm on a given dataset before running the algorithm. The performance of an ML algorithm depends on many factors, such as the quality and size of the data, the complexity of t... Continue

Background It is considered impossible to know the maximum possible learning performance of a machine learning (ML) algorithm on a given dataset before running the algorithm. The performance of an ML algorithm depends on many factors, such as the quality and size of the data, the complexity of t... Continue

The Chair of Digital Health develops AI-based methods for the analysis of healthy behavior, increasing health literacy, as well as for medical decision support for the personalized early detection of diseases, diagnosis, therapy and prevention. The exhibitions and demonstrations show project exampl... Continue

Background Digital health applications (German: “Digitale Gesundheitsanwendung”, DiGA) are the basis for a rapid time-to-market of health and medical apps. This seminar starts with an international overview of digital health app regulations and an introduction to the pioneering German DiGA act. ... Continue

Juan Carlos Suarez Mora joins CDH as a researcher for the development of client-server applications for mobile devices. Contact  Continue

Background Digital health applications (German: “Digitale Gesundheitsanwendung”, DiGA) are the basis for a rapid time-to-market of health and medical apps. This seminar starts with an international overview of digital health app regulations and an introduction to the pioneering German DiGA act. ... Continue