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CAPABLE D5.4: Prototype of Statistical-based Decision Component

Name: CAPABLE D5.4: Prototype of Statistical-based Decision Component
Keywords: clinical decision support, prediction model, statistical summarization, infographics, artificial intelligence, demo

descriptionPublicationkeyboard_double_arrow_right Project deliverable , Other literature type 11 Jul 2022 English Publisher:ZenodoFunded by:EC | CAPABLE

Authors: Barkan, Ella; Quaglini, Silvana; Cornet, Ronald; Glaser, Savannah; Rabinovici-Cohen, Simona;

doi: 10.5281/zenodo.7096154 , 10.5281/zenodo.7096155

CAPABLE D5.4: Prototype of Statistical-based Decision Component

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Abstract

The aim of this deliverable is to demonstrate the capabilities of statistical-based components that support users of the DSS (Decision Support System) that is part of AI framework in CAPABLE architecture. This demonstration involves CAPABLE components from two groups: knowledge-based components which is Infographics Model and data-driven components which are Statistical Summarizer and Population Prediction Models. Demonstrations of both groups are present. The demonstration of Statistical Summarizer and Population Prediction Models is presented as a video (available on the project website) and includes all the steps in data analysis, model development, and evaluation for the survival outcome. Voice-over and a walk-through in this document explain all steps of the demonstration. Demonstration of the Infographics Model is presented as a collection of the developed educational aids that are going to help physicians in discussions with patients, and a mockup of integration of most recent clinical summaries related to treatment decisions into the Physician DSS.

This deliverable is a part of a project receiving funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No. 875052

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clinical decision support, prediction model, statistical summarization, infographics, artificial intelligence, demo

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CAPABLE D3.1: Information Architecture
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fuse-med-ml software on GitHub
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