Identifying temporal patterns in patient disease trajectories using dynamic time warping: A populati...
Identifying temporal patterns in patient disease trajectories using dynamic time warping: A population-based study
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London: Nature Publishing Group UK
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English
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London: Nature Publishing Group UK
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Time is a crucial parameter in the assessment of comorbidities in population-based studies, as it permits to identify more complex disease patterns apart from the pairwise disease associations. So far, it has been, either, completely ignored or only, taken into account by assessing the temporal directionality of identified comorbidity pairs. In thi...
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Identifying temporal patterns in patient disease trajectories using dynamic time warping: A population-based study
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TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5844976
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5844976
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ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-018-22578-1
