Health policyholder clustering using medical consumption. A useful tool for targeting prevention plans

DOI10.1007/s13385-020-00244-zzbMath1455.91223OpenAlexW3048018185MaRDI QIDQ2219633

Romain Gauchon, Stéphane Loisel, Jean-Louis Rullière

Publication date: 20 January 2021

Published in: European Actuarial Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s13385-020-00244-z

zbMATH Keywords

clusteringhealth insurancenonnegative matrix factorizationpreventionKohonen's map

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to actuarial sciences and financial mathematics (62P05) Actuarial mathematics (91G05)

Uses Software

• Silhouettes
• NMF
• kohonen

Cites Work

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• Silhouettes: a graphical aid to the interpretation and validation of cluster analysis
• A self-organizing predictive map for non-life insurance
• SVD based initialization: A head start for nonnegative matrix factorization
• Nonnegative matrix factorization for spectral data analysis
• A data driven binning strategy for the construction of insurance tariff classes
• Robust PCA via Outlier Pursuit
• Learning the parts of objects by non-negative matrix factorization

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