Results 131 to 140 of about 303,598 (207)

Sepsis insult generates different vascular response phenotypes: an unsupervised time-series clustering preclinical study. [PDF]

Sci Rep
Vida I, Carrara M, Ferrario M.
europepmc   +1 more source

Dynamic Associations of Milk Components With the Infant Gut Microbiome and Fecal Metabolites in a Mother-Infant Model by Microbiome, NMR Metabolomic, and Time-Series Clustering Analyses. [PDF]

Front Nutr, 2021
Komatsu Y, Kumakura D, Seto N, Izumi H, Takeda Y, Ohnishi Y, Nakaoka S, Aizawa T.   +7 more
europepmc   +1 more source

Time-series clustering analysis for treatment pattern of lasmiditan for 2 years from the initial prescription. [PDF]

Ther Adv Neurol Disord
Katsuki M, Yamada Y, Ichihara T, Matsumori Y.   +3 more
europepmc   +1 more source

Time-Series Clustering Captures Patterns of Early Immune Effector Cell-Associated Hematotoxicity That Are Predictable Using Tree-Based Models. [PDF]

JCO Clin Cancer Inform
Liang EC, Jeon Y, Qiao Y, Wu X, Huang JJ, Portuguese AJ, Basom R, Torkelson A, Kirchmeier D, Braathen K, Cowan AJ, Shadman M, Hirayama AV, Till BG, Kimble EL, Wu Q, Gauthier J.   +16 more
europepmc   +1 more source

Processing Short Time Series with Data Mining Methods

This article examines several data mining approaches that perform short time series analysis. The basis of the methods is formed by clustering algorithms with or without modifications.
Borisovs, Arkādijs, Kiršners, Arnis
core  

Data-driven identification of temporal glucose patterns in a large cohort of nondiabetic patients with COVID-19 using time-series clustering. [PDF]

JAMIA Open, 2021
Mistry S, Gouripeddi R, Facelli JC, Facelli JC.   +3 more
europepmc   +1 more source

PG-Mamba: An Enhanced Graph Framework for Mamba-Based Time Series Clustering. [PDF]

Sensors (Basel)
Sun Y, Zuo D, Gao J.
europepmc   +1 more source

Erratum to: Data-driven identification of temporal glucose patterns in a large cohort of nondiabetic patients with COVID-19 using time-series clustering. [PDF]

JAMIA Open, 2021
Mistry S, Gouripeddi R, Facelli JC.
europepmc   +1 more source

The spatiotemporal dynamics of COVID-19 in Europe: time-series clustering maps 5 distinct trajectories to spatial patterns. [PDF]

Popul Health Metr
Habershon S, Nenoff K, Kraemer G, Schüler L, Zozmann H, Calabrese JM, Attinger S, Mahecha MD.   +7 more
europepmc   +1 more source

RNfuzzyApp: an R shiny RNA-seq data analysis app for visualisation, differential expression analysis, time-series clustering and enrichment analysis. [PDF]

F1000Res, 2021
Haering M, Habermann BH.
europepmc   +1 more source