Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
9952303 | Computer Methods and Programs in Biomedicine | 2018 | 33 Pages |
Abstract
The results provide an in-silico model-based means of predicting clinically relevant responses to changes in MV therapy, which is the foundation of a first virtual patient for MV.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
S.E. Morton, J. Dickson, J.G. Chase, P. Docherty, T. Desaive, S.L. Howe, G.M. Shaw, M. Tawhai,