Back to Search
Start Over
GraphXplore: Visual exploration and accessible preprocessing of medical data
GraphXplore: Visual exploration and accessible preprocessing of medical data
- 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