Name
Abstract | ||
|---|---|---|
Today's modelling approaches in Systems Medicine are increasingly multiscale, containing two or more submodels, where each operates on different temporal and/or spatial scales. In addition, as these models become increasingly sophisticated, they tend to be run as multiscale computing applications using computational infrastructures such as clusters, supercomputers, grids or clouds. Constructing, validating and deploying such applications is far from trivial, and communities in different scientific disciplines have chosen very diverse approaches to address these challenges. Within this paper we reflect on the use of Multiscale Computing within the context of Systems Medicine. Multiscale Computing is widely applied within this area, and instead of summarizing the field as a whole we will highlight a set of challenges that we believe are of key relevance to the Systems Medicine community. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/BIBM.2018.8621361 | PROCEEDINGS 2018 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM) |
Keywords | Field | DocType |
Multiscale Computing, Systems Medicine, Ambient Assisted Living (AAL), Cloud Computing, Data Science, High Performance Computing (HPC), Internet of Things (IoT) | Data science,Computer science,Internet of Things,Systems medicine,Artificial intelligence,Machine learning,Key relevance,Cloud computing | Conference |
ISSN | Citations | PageRank |
2156-1125 | 0 | 0.34 |
References | Authors | |
0 | 10 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Huiru Zheng | 1 | 458 | 74.87 |
| Jyotsna Talreja Wassan | 2 | 0 | 0.34 |
| Mihnea Alexandru Moisescu | 3 | 48 | 8.89 |
| Lacramioara Stoicu-Tivadar | 4 | 37 | 18.41 |
| João Miranda | 5 | 0 | 0.34 |
| Mihaela Crisan-Vida | 6 | 1 | 5.08 |
| Ioan Stefan Sacala | 7 | 52 | 9.66 |
| Almir Badnjevic | 8 | 10 | 9.40 |
| Ivan Chorbev | 9 | 71 | 12.02 |
| Boro Jakimovski | 10 | 75 | 10.05 |