MULTIVARIATE TIME SERIES SYNTHETIC DATA GENERATION IN DIABETES CARE

被引：0
|
作者：
Herrero, P. [1 ]
Zhu, T. [2 ]
Andorra, M. [1 ]
Chittajallu, S. [3 ]
机构：
[1] Roche Diabet Care, Algorithms & Adv Analyt, Sant Cugat Del Valles, Spain
[2] Roche Diabet Care, Algorithms & Adv Analyt, Burgess Hill, England
[3] Roche Diabet Care, Algorithms & Adv Analyt, Indianapolis, IN USA
来源：
DIABETES TECHNOLOGY & THERAPEUTICS | 2023年 / 25卷
关键词：
D O I：
暂无
中图分类号：
R5 [内科学];
学科分类号：
1002 ; 100201 ;
摘要：
774
引用
收藏
页码：A239 / A239
页数：1
相关论文
共 50 条
  • [21] A Bayesian non-stationary heteroskedastic time series model for multivariate critical care data
    Omar, Zayd
    Stephens, David A.
    Schmidt, Alexandra M.
    Buckeridge, David L.
    STATISTICS IN MEDICINE, 2024, 43 (20) : 3958 - 3974
  • [22] Segmentation of biological multivariate time-series data
    Nooshin Omranian
    Bernd Mueller-Roeber
    Zoran Nikoloski
    Scientific Reports, 5
  • [23] A Novel Data Fusion Algorithm for Multivariate Time Series
    Diao, Chen
    Wang, Bin
    Cai, Ning
    PROCEEDINGS OF THE 30TH CHINESE CONTROL AND DECISION CONFERENCE (2018 CCDC), 2018, : 6331 - 6333
  • [24] Synthetic time series dataset generation for unsupervised autoencoders
    Klopries, Hendrik
    Torres, David Orlando Salazar
    Schwung, Andreas
    2022 IEEE 27TH INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGIES AND FACTORY AUTOMATION (ETFA), 2022,
  • [25] Generation of synthetic video traffic using time series
    Katris, Christos
    Daskalaki, Sophia
    SIMULATION MODELLING PRACTICE AND THEORY, 2017, 75 : 127 - 145
  • [26] StyleTime: Style Transfer for Synthetic Time Series Generation
    El-Laham, Yousef
    Vyetrenko, Svitlana
    3RD ACM INTERNATIONAL CONFERENCE ON AI IN FINANCE, ICAIF 2022, 2022, : 489 - 496
  • [27] Process Framework for Modeling Multivariate Time Series Data
    John, Jobiya
    Ashok, Sreeja
    SOFT COMPUTING IN DATA ANALYTICS, SCDA 2018, 2019, 758 : 577 - 588
  • [28] Segmentation of biological multivariate time-series data
    Omranian, Nooshin
    Mueller-Roeber, Bernd
    Nikoloski, Zoran
    SCIENTIFIC REPORTS, 2015, 5
  • [29] Learning representations of multivariate time series with missing data
    Bianchi, Filippo Maria
    Livi, Lorenzo
    Mikalsen, Karl Oyvind
    Kampffmeyer, Michael
    Jenssen, Robert
    PATTERN RECOGNITION, 2019, 96
  • [30] Learning Causal Relations in Multivariate Time Series Data
    Wang, Zhenxing
    Chan, Laiwan
    ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY, 2012, 3 (04)
12345