Breast Cancer Digital Patient Model to Capture and Visualize Real World Data

Digital revolution in health enables clinicians to access huge amount of data that can be exploited for decision making. However, the lack of integration of the various data sources, the existence of data sources not directly exploitable (e.g. free text, image, signals, genomic sequences) and the la...

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Bibliographic Details
Main Authors: Larburu, Nekane, Arrue, Monica, Macia, Ivan, Kerexeta, Jon, Muro, Naiara
Format: Conference Proceeding
Language:English
Subjects:
Breast cancer
Data models
Data visualization
data-model
Surgery
Visual analytics
Online Access:Request full text
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Summary:Digital revolution in health enables clinicians to access huge amount of data that can be exploited for decision making. However, the lack of integration of the various data sources, the existence of data sources not directly exploitable (e.g. free text, image, signals, genomic sequences) and the lack of digital data models (i.e. digital representation of the data) make such exploitation difficult. The development of effective Decision Support Systems (DSS) in concrete clinical contexts involves the development of appropriate and integrated representations of them, together with new paradigms for the exploitation, modeling and visualization of data oriented to decision-making. The European project DESIREE aims to contribute to the development of a system with these characteristics that has application to decision making by the Breast Committee. In particular, the visual analytics tool can contribute to the exploitation of clinical data in Breast Cancer.
ISSN:2372-9198
DOI:10.1109/CBMS.2019.00132