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LongitProgression: A Python Tool for Studying Factors of Disease Progression through Multivariate Longitudinal Clustering Cover

LongitProgression: A Python Tool for Studying Factors of Disease Progression through Multivariate Longitudinal Clustering

Open Access
|Nov 2025

Figures & Tables

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Figure 1

LongitProgression packages diagrams.

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Figure 2

LongitProgression pipeline, from data load to final plots.

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Listing 1

Longitudinal Clustering.

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Figure 3

Creatinine and Potassium values over ten time points for Patient 10006.

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Figure 4

Preparatory steps for performing longitudinal clustering analysis.

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Figure 5

Progression of clinical markers for the three clusters

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Figure 6

Significance matrices showing the statistical difference among the 3 clusters for Creatinine and Potassium at time points 2 and 8.

DOI: https://doi.org/10.5334/jors.603 | Journal eISSN: 2049-9647
Language: English
Submitted on: Jul 25, 2025
Accepted on: Sep 5, 2025
Published on: Nov 19, 2025
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2025 Patrizia Ribino, Giovanni Paragliola, Claudia Di Napoli, Maria Mannone, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.