Telemedicine DSS-AI Multi Level Platform for Monoclonal Gammopathy Assistance
| Autor: | Angelo Galiano, Roberto Ria, Domenico Scarafile, Assunta Melaccio, Michela Bonomo, Anna Gallone, Antonella Frassanito, Angelo Vacca, Alessandro Massaro, Giuseppe Calamita, Francesca Vacca, Filippo Attivissimo, Antonio Giovanni Solimando |
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| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Decision support system
Telemedicine Flowchart Computer science business.industry 020209 energy Patient risk surgery navigation 02 engineering and technology law.invention Monoclonal gammopathy Project based law 0202 electrical engineering electronic engineering information engineering medicine position error 020201 artificial intelligence & image processing Position error Electromagnetic tracking system surgery navigation position error error propagation Electromagnetic tracking system medicine.symptom Decision-making Software engineering business error propagation |
| Zdroj: | MeMeA |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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