Made by DATEXIS (Data Science and Text-based Information Systems) at Beuth University of Applied Sciences Berlin
Deep Learning Technology: Sebastian Arnold, Betty van Aken, Paul Grundmann, Felix A. Gers and Alexander Löser. Learning Contextualized Document Representations for Healthcare Answer Retrieval. The Web Conference 2020 (WWW'20)
Funded by The Federal Ministry for Economic Affairs and Energy; Grant: 01MD19013D, Smart-MD Project, Digital Technologies
Abstract
Malnutrition–inflammation complex (syndrome), abbreviated as "MICS" and also known as "malnutrition–inflammation–cachexia syndrome", is a common condition in chronic disease states such as chronic kidney disease (where it is also known as uremic malnutrition or protein–energy malnutrition) and chronic heart failure.
The MICS is believed to be a cause of survival paradoxes seen in these distinct patient populations, also known as reverse epidemiology populations.