Proteomics Data Imputation With a Deep Model That Learns From Many Datasets. [PDF]
Mol Cell ProteomicsHarris L, Noble WS.
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Prediction of postoperative infections by strategic data imputation and explainable machine learning. [PDF]
J Am Med Inform AssocGuillen-Ramirez H +7 more
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Data-driven explainable chronic kidney disease detection using RF based data imputation and meta-ensemble learning. [PDF]
Sci RepGupta R +6 more
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Editing and multiply imputing German establishment panel data to estimate stochastic production frontier models [PDF]
"This paper illustrates the effects of item-nonresponse in surveys on the results of multivariate statistical analysis when estimation of productivity is the task.
Rässler, Susanne, Kölling, Arnd
core
Missing data imputation of climate time series: A review. [PDF]
MethodsXAlejo-Sanchez LE +7 more
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HMLA: A hybrid machine learning approach for enhancing stroke prediction models with missing data imputation techniques. [PDF]
Sci RepSingh MS +3 more
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Missing data imputation, prediction, and feature selection in diagnosis of vaginal prolapse. [PDF]
BMC Med Res Methodol, 2023 Fan M, Peng X, Niu X, Cui T, He Q.
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Machine learning prediction of metabolic-associated fatty liver disease in type 2 diabetes: Emphasizing data imputation and feature selection. [PDF]
PLoS OneKhosravi Z +4 more
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A Hybrid Missing Data Imputation Method for Batch Process Monitoring Dataset. [PDF]
Sensors (Basel), 2023 Gan Q, Gong L, Hu D, Jiang Y, Ding X.
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Spatiotemporal dependency data imputation for long-term health monitoring of concrete arch bridges. [PDF]
Sci RepLongji Z +4 more
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