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
Myomatous erythrocytosis syndrome describes an excessive erythrocyte (red blood cells) production, occurring in about 0.5% of individuals affected by uterine leiomyomas (fibroids). This syndrome is believed to be caused by increased erythropoietin (EPO) production by the kidneys or by the leiomyomas themselves.