Name
Abstract | ||
|---|---|---|
The proposed work describes preliminary results of a research project based on the realization of a Decision Support System -DSS- platform embedding medical and artificial intelligence -AI- algorithms. Specifically the telemedicine platform is suitable for the optimization of assistance processes of patients affected by Monoclonal Gammopaty. The results are related to the whole design of the platform implementing a DSS based on a multi-level decision making process. Starting from the main architecture specifications, is formulated a flowchart based on different alerting levels of patient risk including artificial intelligence -AI- decision supporting facilities. Finally, the perspectives of the performed research are discussed. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/MeMeA49120.2020.9137224 | 2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA) |
Keywords | DocType | ISBN |
Telemedicine,Digital Assistance,Decision Support System,Artificial Intelligence,Monoclonal Gammopathy. | Conference | 978-1-7281-5386-5 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
13 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alessandro S. Massaro | 1 | 18 | 7.91 |
| Angelo Galiano | 2 | 4 | 5.24 |
| Domenico Scarafile | 3 | 0 | 0.34 |
| Angelo Vacca | 4 | 0 | 0.34 |
| Antonella Frassanito | 5 | 0 | 0.34 |
| Assunta Melaccio | 6 | 0 | 0.34 |
| Antonio Solimando | 7 | 0 | 0.34 |
| Roberto Ria | 8 | 0 | 0.34 |
| Giuseppe Calamita | 9 | 0 | 0.68 |
| Michela Bonomo | 10 | 0 | 0.34 |
| Francesca Vacca | 11 | 0 | 0.34 |
| Anna Gallone | 12 | 0 | 0.34 |
| Filippo Attivissimo | 13 | 160 | 29.55 |