Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Jose G. Alonso"'
Publikováno v:
IEEE Access, Vol 10, Pp 14529-14547 (2022)
Dropout prediction is a problem that is being addressed with machine learning algorithms; thus, appropriate approaches to address the dropout rate are needed. The selection of an algorithm to predict the dropout rate is only one problem to be address
Externí odkaz:
https://doaj.org/article/60edcbebe02e452baaa9e255571eec53
Autor:
Joaquin G Giron, Manuel C Pajuelo, Jose G Alonso, José Antonio Rodríguez Montes, Juan Pedro Pérez Robledo, Luis Sancho, Isabel P Nieto
Publikováno v:
The Annals of Thoracic Surgery. 67:1568-1571
Background. Medical treatment for myasthenia gravis (MG) involves the use of anticholinesterase agents, immunosuppressive drugs, plasmapheresis, and gammaglobulin. However, these agents result in a complete clinical remission rate as low as 15%. As a