Deliverables
Direct outcome of T34 delivering the visualization and reporting interface to be used in hospital environment
D2.1 - Domain SotA & Data AssetsDirect outcome of T21 T22 documenting the stateofplay on existing tools components and methods preexisting knowhow and background knowledge as well as the identification collection and aggregation of the initial FAITH data sources and the privacy issues that need to be considered therein
D4.1(b) - Federated AI Framework & MethodologyAn final report that defines the Federated AI framework for the FAITH project, building on D4.1(a) and using the project findings to deliver the definition of the final AI framework.
D4.2(b) - Advanced Analytics MethodologyD4.2(b) will present the final report on the AI models that were used to realise the central vision of FAITH, taking into account the earlier version of this deliverable, as well as learnings through the project lifetime.
D4.3(b) - Explainable AI FrameworkD43 will report on the framework for the human understandable explanation that expresses the rationale of the machine It will define the library of ML and HCI modules that provide for more understandable AI implementations
D4.1(a) - Federated AI Framework & MethodologyAn initial report that defines the Federated AI framework for the FAITH project comparing leading opensource Federated Learning libraries eg TensorFlow Federated and OpenMined and also investigate modern nonfederated AIML deployment practices to discover the optimum deployment approach for Edge AI
D4.2(a) - Advanced Analytics MethodologyD42a will present an initial report on the AI models that will be used to realise the central vision of FAITH
D3.2(a) - FAITH Common Data ModelA conceptual data services model which will establish a data harmonization methodology to harmonize the diverse data types hospital data sensor data app data solving the interoperability aspects between the different sources so that analysis can be performed In addition
D2.3(a) - FAITH Framework Conceptual ArchitectureDirect outcome of T25 and T26 documenting the technical requirements of the FAITH Architecture and the FAITH Reference Architecture
D7.3(a) - First report on Communication and Dissemination activitiesReport describing the communication and dissemination activities implemented from M1 to M18 including an evaluation of the impact and effectiveness of those activities and an update of the initial plan if necessary
D2.1(b) - Domain SotA & Data AssetsAn update to D21a Direct outcome of T21 T22 documenting the stateofplay on existing tools components and methods preexisting knowhow and background knowledge as well as the identification collection and aggregation of the initial FAITH data sources and the privacy issues that need to be considered therein
D4.4(b) - Model Shrink & Decompression FrameworkD4.4(b) will report on state of the art compression techniques that were considered to reduce the size of the global model, the selection process and the final chosen approach.
D8.1 - Market AnalysisThis initial Market Analysis report will present and indepth analysis of the healthcare market with respect to post treatment and monitoring that can then be used to feed into our Exploitation plan and discussions
D2.2(b) - FAITH Requirements, Methodology and MVPDirect outcome of T2.3 and T2.4 documenting the framework and trials specific functional and non-functional requirements, the integrated methodology that will drive the implementation of the FAITH framework towards a market aligned MVP that will drive its exploitation.
D3.3(b) - FAITH Data Privacy & ProtectionA Data Privacy, Trust & Protection framework for the FAITH framework
D3.3(a) - FAITH Data Privacy & ProtectionA Data Privacy Trust Protection framework for the FAITH framework
D3.4(b) - FAITH Data Visualisation & ReportingDirect outcome of T3.4 delivering the visualization and reporting interface to be used in hospital environment.
D4.4(a) - Model Shrink & Decompression FrameworkD44 will report on early research into state of the art compression techniques that can be used to reduce the size of the global model as well as building a selection process and the chosen approach used at this stage of the project
D3.1 - Hospital Cloud/Network Infrastructures & Integration MethodologyA full architecture model of the hospital infrastructures and a definition of how the data from the FAITH ecosystem can be seamlessly integrated to provide a singular view of all data required by the professional stakeholders
D3.2(b) - FAITH Common Data ModelA conceptual data services model which will establish a data harmonization methodology to harmonize the diverse data types hospital data sensor data app data solving the interoperability aspects between the different sources so that analysis can be performed In addition
D5.2 Local Data Management ReportThis describes the Local Data Management methodology used in the mobile app to protect the user data
D2.3(b) - FAITH Framework Conceptual ArchitectureDirect outcome of T2.5 and T2.6 documenting the technical requirements of the FAITH Architecture and the FAITH Reference Architecture.
D6.1(a) - Technical Specification & VerificationDirect outcome of T61 and T62 providing specifications and verification methodology for the integration of the FAITH framework and pilot site trials
D6.2(a) - Trial Environment SpecificationDirect outcome of T63 providing the specification for the FAITH trial environment to be used in the intermediate and final trials
D4.3(a) - Explainable AI FrameworkD43 will report on the framework for the human understandable explanation that expresses the rationale of the machine It will define the library of ML and HCI modules that provide for more understandable AI implementations
D2.2(a) - FAITH Requirements, Methodology and MVPDirect outcome of T23 and T24 documenting the framework and trials specific functional and nonfunctional requirements the integrated methodology that will drive the implementation of the FAITH framework towards a market aligned MVP that will drive its exploitation
This is the delivery of the FAITH Appetite Tracking module that will be incorporated into the mobile app.
D5.3(c) - FAITH Activity MonitorThis is the delivery of the module used by the mobile app to monitor user activity.
D5.5(a) - FAITH Appetite Tracking ModuleThis is the delivery of the FAITH Appetite Tracking module that will be incorporated into the mobile app.
D5.3(a) - FAITH Activity MonitorThis is the delivery of the module used by the mobile app to monitor user activity
D5.3(b) - FAITH Activity MonitorThis is the delivery of the module used by the mobile app to monitor user activity.
D5.6(a) - FAITH NLP ModuleThis is delivery of the FAITH NLP module that is to be incorporated into the mobile app.
D7.2 FAITH websiteFAITH Website and Social Media accounts online with all contents and functionalities
D5.1(b) - FAITH Mobile AppThis is the final delivery of the mobile app as a smartphone app for end users
D5.1(a) - FAITH Mobile AppThis is the initial delivery of the mobile app as a smartphone app for end users.
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