Application of dimensionality reduction and clustering techniques for the analysis of Carrion's disease cases in the period 2000–2024

The heterogeneous geographic distribution and the complex dynamics of Carrion's disease challenge conventional epidemiological surveillance in Peru. To address this, this study applied unsupervised machine learning to 43,534 national records (2000–2024). Following a rigorous data cleaning process—which resolved duplicate records, missing information, and outliers using Tukey's interquartile range (IQR)—the dimensionality reduction approaches MCA and FAMD coupled with the K-Means algorithm were e

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ethics.ai (11 August 2026), “Application of dimensionality reduction and clustering techniques for the analysis of Carrion's disease cases in the period 2000–2024,” evidence record 18477, https://ethics.ai/record/18477 (originally published by Frontiers in Artificial Intelligence).

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