Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/23043
Title: Clustering clinical and health care processes using a novel measure of dissimilarity for variable-length sequences of ordinal states.
Austin Authors: Johns, Hannah;Hearne, John;Bernhardt, Julie;Churilov, Leonid 
Affiliation: School of Science, RMIT University, Melbourne, Australia
Center for Research Excellence in Stroke Rehabilitation, The Florey Institute of Neuroscience and Mental Health, Heidelberg, Victoria, Australia
Melbourne Medical School, University of Melbourne, Melbourne, Australia
Issue Date: 16-Oct-2020
metadata.dc.date: 2020-04-16
Publication information: Statistical Methods in Medical Research 2020; 29(10): 3059-3075
URI: http://ahro.austin.org.au/austinjspui/handle/1/23043
DOI: 10.1177/0962280220917174
ORCID: 0000-0002-9807-6606
0000-0003-2135-0504
0000-0002-2787-8484
PubMed URL: 32297567
Type: Journal Article
Subjects: Sequence clustering
clinical process
edit distance
ordinal analysis
Stroke recovery
Appears in Collections:Journal articles

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