A. Massaro, A. Galiano, Domenico Scarafile, A. Vacca, Antonella Frassanito, A. Melaccio, Antonio Giovanni Solimando, R. Ria, G. Calamita, Michela Bonomo, Francesca Vacca, A. Gallone, F. Attivissimo
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引用次数: 6
摘要
提出的工作描述了一个基于实现嵌入医疗和人工智能算法的决策支持系统(dss)平台的研究项目的初步结果。具体而言，该远程医疗平台适合于优化单克隆Gammopaty患者的辅助流程。研究结果与实现基于多层次决策过程的决策支持系统的整个平台设计有关。从主要架构规范出发，制定了基于不同患者风险预警级别的流程图，包括人工智能- ai -决策支持设施。最后，对所做研究的观点进行了讨论。
Telemedicine DSS-AI Multi Level Platform for Monoclonal Gammopathy Assistance
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.
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