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
Subinvolution is a medical condition in which after childbirth, the uterus does not return to its normal size.
When the involution is impaired or retarded it is called subinvolution. The uterus is the most common organ affected by subinvolution. As it is the most accessible organ to be measured per abdomen, the uterine involution is considered clinically as an index to assess subinvolution.