Toward Disease Diagnosis Visual Support Bridging Classic and Precision Medicine

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Date
2022
Authors
Palleschi, Alessia
Petti, Manuela
Tieri, Paolo
Angelini, Marco
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
The traditional approach in medicine starts with investigating patients' symptoms to make a diagnosis. While with the advent of precision medicine, a diagnosis results from several factors that interact and need to be analyzed together. This added complexity asks for increased support for medical personnel in analyzing these data altogether. Our objective is to merge the traditional approach with network medicine to offer a tool to investigate together symptoms, anatomies, diseases, and genes to establish a diagnosis from different points of view. This paper aims to help the clinician with the typical workflow of disease analysis, proposing a Visual Analytics tool to ease this task. A use case demonstrates the benefits of the proposed solution.
Description

CCS Concepts: Human-centered computing --> Visual analytics; Applied computing --> Computational genomics; Biological networks

        
@inproceedings{
10.2312:eurova.20221075
,
booktitle = {
EuroVis Workshop on Visual Analytics (EuroVA)
},
editor = {
Bernard, Jürgen
 and 
Angelini, Marco
},
title = {{
Toward Disease Diagnosis Visual Support Bridging Classic and Precision Medicine
}},
author = {
Palleschi, Alessia
 and 
Petti, Manuela
 and 
Tieri, Paolo
 and 
Angelini, Marco
},
year = {
2022
},
publisher = {
The Eurographics Association
},
ISSN = {
2664-4487
},
ISBN = {
978-3-03868-183-0
},
DOI = {
10.2312/eurova.20221075
}
}
Citation
URI
https://doi.org/10.2312/eurova.20221075
 https://diglib.eg.org:443/handle/10.2312/eurova20221075
Collections
EuroVA2022