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.
Telemedicine DSS-AI Multi Level Platform for Monoclonal Gammopathy Assistance
Vacca A.;Melaccio A.;Solimando A.;Ria R.;Calamita G.;Bonomo M.;Vacca F.;Gallone A.Funding Acquisition
;Attivissimo F.
2020-01-01
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
