A Novel Approach for Handling Missing Data in Multivariate Time Series Clustering: Case Study on Predicting Delayed Graft Function.

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Bibliographic Details
Title: A Novel Approach for Handling Missing Data in Multivariate Time Series Clustering: Case Study on Predicting Delayed Graft Function.
Authors: Momaya M; University of Florida, Gainesville, FL., Simon G; University of Minnesota, Minneapolis, MN., Duarte S; University of Florida, Gainesville, FL., Pruinelli L; University of Florida, Gainesville, FL.
Source: Studies in health technology and informatics [Stud Health Technol Inform] 2026 May 21; Vol. 336, pp. 2349-2353.
Publication Type: Journal Article
Journal Info: Publisher: IOS Press Country of Publication: Netherlands NLM ID: 9214582 Publication Model: Print Cited Medium: Internet ISSN: 1879-8365 (Electronic) Linking ISSN: 09269630 NLM ISO Abbreviation: Stud Health Technol Inform Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1879-8365
DOI:10.3233/SHTI260690