Improving patient clustering by incorporating structured variable label relationships in similarity measures

Considering label relationships when computing patient similarities improves stratification of patients regarding their health status.

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Publication Details

Journal
BMC Medical Research Methodology
Published
2025-03-15
DOI
https://doi.org/10.1186/s12874-025-02459-8
Citations
1
Primary Topic
Machine Learning in Healthcare
Type
article
Field-Weighted Citation Impact
2.48
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article

Improving patient clustering by incorporating structured variable label relationships in similarity measures

Judith Lambert, Anne‐Louise Leutenegger, Anne‐Sophie Jannot, Anaı̈s Baudot
1 citations
BMC Medical Research Methodology
Machine Learning in Healthcare
2.48
article

Improving patient clustering by incorporating structured variable label relationships in similarity measures

Judith Lambert, Anne‐Louise Leutenegger, Anne‐Sophie Jannot, Anaı̈s Baudot
article en
1 citations

Abstract

Considering label relationships when computing patient similarities improves stratification of patients regarding their health status.

BMC Medical Research MethodologyVol. 25(1)
Centre National de la Recherche Scientifique (FR), Institut national de recherche en sciences et technologies du numérique (FR), Inserm (FR), Université Paris Cité (FR), Aix-Marseille Université (FR), Barcelona Supercomputing Center (ES), Sorbonne Université (FR), Centre de Recherche des Cordeliers (FR), Assistance Publique – Hôpitaux de Paris (FR), NeuroDiderot (FR), Universitat Politècnica de Catalunya (ES)
Openalex Percentile: Top 11%
Machine Learning in Healthcare
2.48
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Improving patient clustering by incorporating structured variable label relationships in similarity measures — Judith Lambert, Anne‐Louise Leutenegger, et al. · BMC Medical Research Methodology (2025) | TGRS Research Map | TGRS