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GraphXplore: Visual exploration and accessible preprocessing of medical data

GraphXplore: Visual exploration and accessible preprocessing of medical data

Authors :
Louis Bellmann
Karl Gottfried
Philipp Breitfeld
Frank Ückert
Source :
SoftwareX, Vol 29, Iss , Pp 101978- (2025)
Publication Year :
2025
Publisher :
Elsevier, 2025.

Abstract

Data-driven medical research requires explainable, robust models that can handle the noisy, high-dimensional nature of electronic healthcare data while adequately communicating the results to physicians. Additionally, metadata sharing, and reproducible dataset preparation are needed to increase data quality and interoperability of privacy-sensitive patient data. In this work, we present GraphXplore, a tool for visual data exploration, automatic metadata extraction and data transformation. It enables explainable, easy-to-use exploratory data analysis paired with dataset preparation and metadata annotation accessible for physicians. The tool is implemented as a Python package and graphical user interface application tailored to the needs of medical researchers and modularly integrable into hospital data warehouse infrastructures.

Details

Language :
English
ISSN :
23527110
Volume :
29
Issue :
101978-
Database :
Directory of Open Access Journals
Journal :
SoftwareX
Publication Type :
Academic Journal
Accession number :
edsdoj.b803db794e4765b58ee2b9f04bb82f
Document Type :
article
Full Text :
https://doi.org/10.1016/j.softx.2024.101978