Learning the Clustering of Longitudinal Shape Data Sets into a Mixture of Independent or Branching Trajectories
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Computer Vision"
DOI: 10.1007/s11263-020-01337-8
Abstract: Given repeated observations of several subjects over time, i.e. a longitudinal data set, this paper introduces a new model to learn a classification of the shapes progression in an unsupervised setting: we automatically cluster a… read more here.
Keywords: data sets; clustering longitudinal; shape; learning clustering ... See more keywords
Deep representation learning for clustering longitudinal survival data from electronic health records
Sign Up to like & getrecommendations! Published in 2025 at "Nature Communications"
DOI: 10.1038/s41467-025-56625-z
Abstract: Precision medicine requires accurate identification of clinically relevant patient subgroups. Electronic health records provide major opportunities for leveraging machine learning approaches to uncover novel patient subgroups. However, many existing approaches fail to adequately capture complex… read more here.
Keywords: electronic health; vadesc ehr; medicine; clustering longitudinal ... See more keywords
CONNECTOR, fitting and clustering of longitudinal data to reveal a new risk stratification system
Sign Up to like & getrecommendations! Published in 2022 at "Bioinformatics"
DOI: 10.1101/2022.08.08.503120
Abstract: The transition from the evaluation of a single time point to the examination of the entire dynamic evolution of a system is possible only in the presence of the proper framework. The strong variability of… read more here.
Keywords: longitudinal data; system; clustering longitudinal; connector fitting ... See more keywords
Clustering of longitudinal data by using an extended baseline: A new method for treatment efficacy clustering in longitudinal data
Sign Up to like & getrecommendations! Published in 2018 at "Statistical Methods in Medical Research"
DOI: 10.1177/0962280215621591
Abstract: Heterogeneity in treatment efficacy is a major concern in clinical trials. Clustering may help to identify the treatment responders and the non-responders. In the context of longitudinal cluster analyses, sample size and variability of the… read more here.
Keywords: longitudinal data; clustering longitudinal; data using; extended baseline ... See more keywords