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Identifying time patterns in Huntington’s disease trajectories using dynamic time warping-based clus...

Identifying time patterns in Huntington’s disease trajectories using dynamic time warping-based clus...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_3ab290bc4df64950baff26a8e07c16cc

Identifying time patterns in Huntington’s disease trajectories using dynamic time warping-based clustering on multi-modal data

About this item

Full title

Identifying time patterns in Huntington’s disease trajectories using dynamic time warping-based clustering on multi-modal data

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2025-01, Vol.15 (1), p.3081-16, Article 3081

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

One of the principal goals of Precision Medicine is to stratify patients by accounting for individual variability. However, extracting meaningful information from Real-World Data, such as Electronic Health Records, still remains challenging due to methodological and computational issues. A Dynamic Time Warping-based unsupervised-clustering methodol...

Alternative Titles

Full title

Identifying time patterns in Huntington’s disease trajectories using dynamic time warping-based clustering on multi-modal data

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_3ab290bc4df64950baff26a8e07c16cc

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_3ab290bc4df64950baff26a8e07c16cc

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-025-86686-5

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