Background Machine learning algorithms are currently used in a wide array of clinical domains
to produce models that can predict clinical risk events. Most models are developed and …

Background An inherent difference exists between male and female bodies, the historical
under-representation of females in clinical trials widened this gap in existing healthcare data. …

Tourism information is predominantly based on geographically related information and
therefore, the tourism and leisure industries are currently searching for ways how to explore the …

Background In recent years, machine learning (ML)–based models have been widely used
in clinical domains to predict clinical risk events. However, in production, the performances of …

Background: Machine learning algorithms are a promising approach to help physicians to
deal with the ever increasing amount of data collected in healthcare each day. However, …

Hospital readmissions receive increasing interest, since they are burdensome for patients
and costly for healthcare providers. For the calculation of reimbursement fees, in Germany …

Background An inherent difference exists between male and female bodies, the historical
under-representation of females in clinical trials widened this gap in existing healthcare data. …

Unplanned hospital readmissions are a burden to the healthcare system and to the patients.
To lower the readmission rates, machine learning approaches can be used to create …

In den folgenden Überlegungen geht es hauptsächlich um ein unpubliziertes Konvolut
Rilkes von 26 Seiten mit dem Titel "Remarques à la suite de la traduction des 'Cahiers de ML …

… Jörg Engelmann entstand aus dieser Zusammenarbeit die bereits zum wiederholten Male
durchgeführte Fachtagung,,Die Energieeffiziente Fabrik in der Automobil-Industrie“. Die …