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

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

Abstract Background Patient stratification is the cornerstone of numerous health investigations, serving to enhance the estimation of treatment efficacy and facilitating patient matching. To stratify patients, similarity measures between patients can be computed from clinical variables contained in...

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Bibliographic Details
Main Authors: Judith Lambert, Anne-Louise Leutenegger, Anaïs Baudot, Anne-Sophie Jannot
Format: Article
Language:English
Published: BMC 2025-03-01
Series:BMC Medical Research Methodology
Subjects:
Prior expert knowledge
Structured variable labels
Patient stratification
Patient clustering
Patient networks
Similarity measures
Online Access:https://doi.org/10.1186/s12874-025-02459-8
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https://doi.org/10.1186/s12874-025-02459-8

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