133 related articles for article (PubMed ID: 38400270)
21. Extremely missing numerical data in Electronic Health Records for machine learning can be managed through simple imputation methods considering informative missingness: A comparative of solutions in a COVID-19 mortality case study.
Ferri P; Romero-Garcia N; Badenes R; Lora-Pablos D; Morales TG; Gómez de la Cámara A; García-Gómez JM; Sáez C
Comput Methods Programs Biomed; 2023 Dec; 242():107803. PubMed ID: 37703700
[TBL] [Abstract][Full Text] [Related]
22. A Combined Interpolation and Weighted
Daberdaku S; Tavazzi E; Di Camillo B
J Healthc Inform Res; 2020 Jun; 4(2):174-188. PubMed ID: 35415441
[TBL] [Abstract][Full Text] [Related]
23. [Simulation study on missing data imputation methods for longitudinal data in cohort studies].
Li YM; Zhao P; Yang YH; Wang JX; Yan H; Chen FY
Zhonghua Liu Xing Bing Xue Za Zhi; 2021 Oct; 42(10):1889-1894. PubMed ID: 34814629
[No Abstract] [Full Text] [Related]
24. Prediction and analysis of multiple protein lysine modified sites based on conditional wasserstein generative adversarial networks.
Yang Y; Wang H; Li W; Wang X; Wei S; Liu Y; Xu Y
BMC Bioinformatics; 2021 Mar; 22(1):171. PubMed ID: 33789579
[TBL] [Abstract][Full Text] [Related]
25. Conditional generative adversarial network for 3D rigid-body motion correction in MRI.
Johnson PM; Drangova M
Magn Reson Med; 2019 Sep; 82(3):901-910. PubMed ID: 31006909
[TBL] [Abstract][Full Text] [Related]
26. Synthetic Tabular Data Based on Generative Adversarial Networks in Health Care: Generation and Validation Using the Divide-and-Conquer Strategy.
Kang HYJ; Batbaatar E; Choi DW; Choi KS; Ko M; Ryu KS
JMIR Med Inform; 2023 Nov; 11():e47859. PubMed ID: 37999942
[TBL] [Abstract][Full Text] [Related]
27. ImputeGAN: Generative Adversarial Network for Multivariate Time Series Imputation.
Qin R; Wang Y
Entropy (Basel); 2023 Jan; 25(1):. PubMed ID: 36673278
[TBL] [Abstract][Full Text] [Related]
28. A multicenter random forest model for effective prognosis prediction in collaborative clinical research network.
Li J; Tian Y; Zhu Y; Zhou T; Li J; Ding K; Li J
Artif Intell Med; 2020 Mar; 103():101814. PubMed ID: 32143809
[TBL] [Abstract][Full Text] [Related]
29. Pesticide detection combining the Wasserstein generative adversarial network and the residual neural network based on terahertz spectroscopy.
Yang R; Li Y; Qin B; Zhao D; Gan Y; Zheng J
RSC Adv; 2022 Jan; 12(3):1769-1776. PubMed ID: 35425184
[TBL] [Abstract][Full Text] [Related]
30. Missing data imputation, prediction, and feature selection in diagnosis of vaginal prolapse.
Fan M; Peng X; Niu X; Cui T; He Q
BMC Med Res Methodol; 2023 Nov; 23(1):259. PubMed ID: 37932660
[TBL] [Abstract][Full Text] [Related]
31. Multi-Modal Brain Tumor Data Completion Based on Reconstruction Consistency Loss.
Jiang Y; Zhang S; Chi J
J Digit Imaging; 2023 Aug; 36(4):1794-1807. PubMed ID: 36856903
[TBL] [Abstract][Full Text] [Related]
32. DeepMicroGen: a generative adversarial network-based method for longitudinal microbiome data imputation.
Choi JM; Ji M; Watson LT; Zhang L
Bioinformatics; 2023 May; 39(5):. PubMed ID: 37099704
[TBL] [Abstract][Full Text] [Related]
33. MSFF-CDCGAN: A novel method to predict RNA secondary structure based on Generative Adversarial Network.
Yuan S; Gong Y; Wang G; Zhang B; Liu Y; Zhang H
Methods; 2022 Aug; 204():368-375. PubMed ID: 35490852
[TBL] [Abstract][Full Text] [Related]
34. A wide range of missing imputation approaches in longitudinal data: a simulation study and real data analysis.
Jahangiri M; Kazemnejad A; Goldfeld KS; Daneshpour MS; Mostafaei S; Khalili D; Moghadas MR; Akbarzadeh M
BMC Med Res Methodol; 2023 Jul; 23(1):161. PubMed ID: 37415114
[TBL] [Abstract][Full Text] [Related]
35. RegraphGAN: A graph generative adversarial network model for dynamic network anomaly detection.
Guo D; Liu Z; Li R
Neural Netw; 2023 Sep; 166():273-285. PubMed ID: 37531727
[TBL] [Abstract][Full Text] [Related]
36. Generative adversarial networks with decoder-encoder output noises.
Zhong G; Gao W; Liu Y; Yang Y; Wang DH; Huang K
Neural Netw; 2020 Jul; 127():19-28. PubMed ID: 32315932
[TBL] [Abstract][Full Text] [Related]
37. Tomographic reconstruction with a generative adversarial network.
Yang X; Kahnt M; Brückner D; Schropp A; Fam Y; Becher J; Grunwaldt JD; Sheppard TL; Schroer CG
J Synchrotron Radiat; 2020 Mar; 27(Pt 2):486-493. PubMed ID: 32153289
[TBL] [Abstract][Full Text] [Related]
38. A Generative Adversarial Network Based a Rolling Bearing Data Generation Method Towards Fault Diagnosis.
Huo L; Qi H; Fei S; Guan C; Li J
Comput Intell Neurosci; 2022; 2022():7592258. PubMed ID: 35875772
[TBL] [Abstract][Full Text] [Related]
39. 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]
40. Boron concentration prediction from Compton camera image for boron neutron capture therapy based on generative adversarial network.
Hou Z; Geng C; Tang X; Tian F; Zhao S; Qi J; Shu D; Gong C
Appl Radiat Isot; 2022 Aug; 186():110302. PubMed ID: 35653926
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]