MultiMed Engineers
Thanks to the availablity of experimental datasets from the City4Age Athens Pilot, MultiMed Engineers investigated how Machine Learning algorithms can be leveraged to early detect frailty onset in aging citizens, living in smart-cities.
Category Archives: mme
Chat-bot development
MultiMed Engineers is experimenting the application of chat-bot technology to several business cases, including a NLP-based query language for a CRM database, and a conversational application to support a business-to-business “classifieds” system.
City4Age frailty and MCI risk model
MultiMed Engineers, with the support of Università di Pavia (Department of Internal Medicine and Therapeutics), has drafted the first version of the City4Age frailty and MCI risk model. This document, which is a public deliverable of the City4Age Project (D2.1), presents the selection of geriatrics indicators that are currently being used to elaborate the behavioural markers for MCI and frailty, envisaged by the Project.