245 related articles for article (PubMed ID: 31947333)
1. A deep learning technique for imputing missing healthcare data.
Phung S; Kumar A; Kim J
Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():6513-6516. PubMed ID: 31947333
[TBL] [Abstract][Full Text] [Related]
2. Deep Learning Approach for Imputation of Missing Values in Actigraphy Data: Algorithm Development Study.
Jang JH; Choi J; Roh HW; Son SJ; Hong CH; Kim EY; Kim TY; Yoon D
JMIR Mhealth Uhealth; 2020 Jul; 8(7):e16113. PubMed ID: 32445459
[TBL] [Abstract][Full Text] [Related]
3. A deep learning-based, unsupervised method to impute missing values in electronic health records for improved patient management.
Xu D; Hu PJ; Huang TS; Fang X; Hsu CC
J Biomed Inform; 2020 Nov; 111():103576. PubMed ID: 33010424
[TBL] [Abstract][Full Text] [Related]
4. Sparse Convolutional Denoising Autoencoders for Genotype Imputation.
Chen J; Shi X
Genes (Basel); 2019 Aug; 10(9):. PubMed ID: 31466333
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Advanced methods for missing values imputation based on similarity learning.
Fouad KM; Ismail MM; Azar AT; Arafa MM
PeerJ Comput Sci; 2021; 7():e619. PubMed ID: 34395861
[TBL] [Abstract][Full Text] [Related]
7. Imputation strategies when a continuous outcome is to be dichotomized for responder analysis: a simulation study.
Floden L; Bell ML
BMC Med Res Methodol; 2019 Jul; 19(1):161. PubMed ID: 31345166
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Comparison of imputation methods for missing production data of dairy cattle.
You J; Ellis JL; Adams S; Sahar M; Jacobs M; Tulpan D
Animal; 2023 Dec; 17 Suppl 5():100921. PubMed ID: 37659911
[TBL] [Abstract][Full Text] [Related]
10. A real data-driven simulation strategy to select an imputation method for mixed-type trait data.
May JA; Feng Z; Adamowicz SJ
PLoS Comput Biol; 2023 Mar; 19(3):e1010154. PubMed ID: 36947561
[TBL] [Abstract][Full Text] [Related]
11. A Deep Learning-Based Unsupervised Method to Impute Missing Values in Patient Records for Improved Management of Cardiovascular Patients.
Xu D; Sheng JQ; Hu PJ; Huang TS; Hsu CC
IEEE J Biomed Health Inform; 2021 Jun; 25(6):2260-2272. PubMed ID: 33095720
[TBL] [Abstract][Full Text] [Related]
12. Evaluation methodology for deep learning imputation models.
Boursalie O; Samavi R; Doyle TE
Exp Biol Med (Maywood); 2022 Nov; 247(22):1972-1987. PubMed ID: 36562377
[TBL] [Abstract][Full Text] [Related]
13. The multiple imputation method: a case study involving secondary data analysis.
Walani SR; Cleland CM
Nurse Res; 2015 May; 22(5):13-9. PubMed ID: 25976532
[TBL] [Abstract][Full Text] [Related]
14. Generative adversarial networks for imputing missing data for big data clinical research.
Dong W; Fong DYT; Yoon JS; Wan EYF; Bedford LE; Tang EHM; Lam CLK
BMC Med Res Methodol; 2021 Apr; 21(1):78. PubMed ID: 33879090
[TBL] [Abstract][Full Text] [Related]
15. The effect of imputing missing clinical attribute values on training lung cancer survival prediction model performance.
Barakat MS; Field M; Ghose A; Stirling D; Holloway L; Vinod S; Dekker A; Thwaites D
Health Inf Sci Syst; 2017 Dec; 5(1):16. PubMed ID: 29255599
[TBL] [Abstract][Full Text] [Related]
16. Imputation of missing values for cochlear implant candidate audiometric data and potential applications.
Pavelchek C; Michelson AP; Walia A; Ortmann A; Herzog J; Buchman CA; Shew MA
PLoS One; 2023; 18(2):e0281337. PubMed ID: 36745652
[TBL] [Abstract][Full Text] [Related]
17. The impact of imputation quality on machine learning classifiers for datasets with missing values.
Shadbahr T; Roberts M; Stanczuk J; Gilbey J; Teare P; Dittmer S; Thorpe M; Torné RV; Sala E; Lió P; Patel M; Preller J; ; Rudd JHF; Mirtti T; Rannikko AS; Aston JAD; Tang J; Schönlieb CB
Commun Med (Lond); 2023 Oct; 3(1):139. PubMed ID: 37803172
[TBL] [Abstract][Full Text] [Related]
18. Evaluating Methods for Imputing Missing Data from Longitudinal Monitoring of Athlete Workload.
Benson LC; Stilling C; Owoeye OBA; Emery CA
J Sports Sci Med; 2021 Jun; 20(2):188-196. PubMed ID: 33948096
[TBL] [Abstract][Full Text] [Related]
19. Missing value imputation in high-dimensional phenomic data: imputable or not, and how?
Liao SG; Lin Y; Kang DD; Chandra D; Bon J; Kaminski N; Sciurba FC; Tseng GC
BMC Bioinformatics; 2014 Nov; 15(1):346. PubMed ID: 25371041
[TBL] [Abstract][Full Text] [Related]
20. Imputation of Gene Expression Data in Blood Cancer and Its Significance in Inferring Biological Pathways.
Farswan A; Gupta A; Gupta R; Kaur G
Front Oncol; 2019; 9():1442. PubMed ID: 31970084
[No Abstract] [Full Text] [Related]
[Next] [New Search]
