BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

306 related articles for article (PubMed ID: 29666385)

  • 1. Recurrent Neural Networks for Multivariate Time Series with Missing Values.
    Che Z; Purushotham S; Cho K; Sontag D; Liu Y
    Sci Rep; 2018 Apr; 8(1):6085. PubMed ID: 29666385
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Adversarial Joint-Learning Recurrent Neural Network for Incomplete Time Series Classification.
    Ma Q; Li S; Cottrell GW
    IEEE Trans Pattern Anal Mach Intell; 2022 Apr; 44(4):1765-1776. PubMed ID: 32997624
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Attention-Based Sequence-to-Sequence Model for Time Series Imputation.
    Li Y; Du M; He S
    Entropy (Basel); 2022 Dec; 24(12):. PubMed ID: 36554203
    [TBL] [Abstract][Full Text] [Related]  

  • 4. CGCNImp: a causal graph convolutional network for multivariate time series imputation.
    Liu C; Cui G; Liu S
    PeerJ Comput Sci; 2022; 8():e966. PubMed ID: 35634128
    [TBL] [Abstract][Full Text] [Related]  

  • 5. In-Advance Prediction of Pressure Ulcers via Deep-Learning-Based Robust Missing Value Imputation on Real-Time Intensive Care Variables.
    Kim M; Kim TH; Kim D; Lee D; Kim D; Heo J; Kang S; Ha T; Kim J; Moon DH; Heo Y; Kim WJ; Lee SJ; Kim Y; Park SW; Han SS; Choi HS
    J Clin Med; 2023 Dec; 13(1):. PubMed ID: 38202043
    [TBL] [Abstract][Full Text] [Related]  

  • 6. End-to-End Incomplete Time-Series Modeling From Linear Memory of Latent Variables.
    Ma Q; Li S; Shen L; Wang J; Wei J; Yu Z; Cottrell GW
    IEEE Trans Cybern; 2020 Dec; 50(12):4908-4920. PubMed ID: 30990205
    [TBL] [Abstract][Full Text] [Related]  

  • 7. CARRNN: A Continuous Autoregressive Recurrent Neural Network for Deep Representation Learning From Sporadic Temporal Data.
    Ghazi MM; Sorensen L; Ourselin S; Nielsen M
    IEEE Trans Neural Netw Learn Syst; 2022 Jun; PP():. PubMed ID: 35666790
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Neural networks based on attention architecture are robust to data missingness for early predicting hospital mortality in intensive care unit patients.
    Zeng Z; Liu Y; Yao S; Liu J; Xiao B; Liu C; Gong X
    Digit Health; 2023; 9():20552076231171482. PubMed ID: 37179744
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Uncertainty-Aware Variational-Recurrent Imputation Network for Clinical Time Series.
    Mulyadi AW; Jun E; Suk HI
    IEEE Trans Cybern; 2022 Sep; 52(9):9684-9694. PubMed ID: 33661746
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Adversarial Recurrent Time Series Imputation.
    Yang S; Dong M; Wang Y; Xu C
    IEEE Trans Neural Netw Learn Syst; 2023 Apr; 34(4):1639-1650. PubMed ID: 32749970
    [TBL] [Abstract][Full Text] [Related]  

  • 11. GRU-D-Weibull: A novel real-time individualized endpoint prediction.
    Ruan X; Wang L; Thongprayoon C; Cheungpasitporn W; Liu H
    Artif Intell Med; 2023 Dec; 146():102696. PubMed ID: 38042597
    [TBL] [Abstract][Full Text] [Related]  

  • 12. BiT-MAC: Mortality prediction by bidirectional time and multi-feature attention coupled network on multivariate irregular time series.
    Wang Q; Chen G; Jin X; Ren S; Wang G; Cao L; Xia Y
    Comput Biol Med; 2023 Mar; 155():106586. PubMed ID: 36774888
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Uncertainty-Gated Stochastic Sequential Model for EHR Mortality Prediction.
    Jun E; Mulyadi AW; Choi J; Suk HI
    IEEE Trans Neural Netw Learn Syst; 2021 Sep; 32(9):4052-4062. PubMed ID: 32841128
    [TBL] [Abstract][Full Text] [Related]  

  • 14. ContrAttNet: Contribution and attention approach to multivariate time-series data imputation.
    Yin Y; Huang C; Bao X
    Network; 2024 Jun; ():1-24. PubMed ID: 38828665
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Deep imputation of missing values in time series health data: A review with benchmarking.
    Kazijevs M; Samad MD
    J Biomed Inform; 2023 Aug; 144():104440. PubMed ID: 37429511
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Missing Value Estimation using Clustering and Deep Learning within Multiple Imputation Framework.
    Samad MD; Abrar S; Diawara N
    Knowl Based Syst; 2022 Aug; 249():. PubMed ID: 36159738
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Robust imputation method with context-aware voting ensemble model for management of water-quality data.
    Choi J; Lim KJ; Ji B
    Water Res; 2023 Sep; 243():120369. PubMed ID: 37499538
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A novel missing data imputation approach based on clinical conditional Generative Adversarial Networks applied to EHR datasets.
    Bernardini M; Doinychko A; Romeo L; Frontoni E; Amini MR
    Comput Biol Med; 2023 Sep; 163():107188. PubMed ID: 37393785
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A comparison between discrete and continuous time Bayesian networks in learning from clinical time series data with irregularity.
    Liu M; Stella F; Hommersom A; Lucas PJF; Boer L; Bischoff E
    Artif Intell Med; 2019 Apr; 95():104-117. PubMed ID: 30683464
    [TBL] [Abstract][Full Text] [Related]  

  • 20. An Accurate GRU-Based Power Time-Series Prediction Approach With Selective State Updating and Stochastic Optimization.
    Zheng W; Chen G
    IEEE Trans Cybern; 2022 Dec; 52(12):13902-13914. PubMed ID: 34731085
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 16.