Prevalence and characteristics of upfront diuretic resistance in acute heart failure: The P-Value-AHF study.

Aims: Diuretic resistance (i.e., insufficient diuretic and natriuretic response to an appropriate dose of intravenously administered loop diuretic) is a major cause of insufficient decongestion in acute heart failure (AHF).

Pre-Processing of Categorical Features Within Medical Analysis Systems.

The complexity of the cancer problem domain presents challenges not only to the medical analysis systems tasked with its analysis, but also to the users of such systems. While it is desirable to assist users in operating these medical analysis systems, prior groundwork is required before this can be achieved, such as recognising patterns in the way users create certain analyses within these systems. In this paper, we use machine learning algorithms to analyse user behaviour patterns and attempt to predict the next user interaction within the CARESS medical analysis system.

Comparison of Ensemble Learning Methods for Classification in Cancer Registries.

Significant developments are currently underway in the field of cancer research, particularly in Germany, regarding cancer registration and the use of medical information systems. The use of such systems contributes significantly to quality assurance and increased efficiency in data evaluation. The growing importance of artificial intelligence (AI) in cancer research is evident as these systems integrate AI for various purposes, i.

[Acute heart failure (AHF)].

Acute heart failure (AHF) is a frequent cause for emergency consultations, leads to long hospital stays and is characterized by high mortality and rehospitalization rates, with the first months after hospitalization having the highest risk («vulnerable phase»). The clinical presentation is usually characterized by fluid accumulation. Over the last three decades, few advances have been achieved in the treatment of AHF, as most studies with diuretics or vasodilators failed to show positive effects in terms of mortality and rehospitalization rates.