Increasing the Density of Laboratory Measures for Machine Learning Applications

Background. The imputation of missingness is a key step in Electronic Health Records (EHR) mining, as it can significantly affect the conclusions derived from the downstream analysis in translational medicine. The missingness of laboratory values in EHR is not at random, yet imputation techniques te...

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Detalhes bibliográficos
Publicado no:J Clin Med
Main Authors: Abedi, Vida, Li, Jiang, Shivakumar, Manu K., Avula, Venkatesh, Chaudhary, Durgesh P., Shellenberger, Matthew J., Khara, Harshit S., Zhang, Yanfei, Lee, Ming Ta Michael, Wolk, Donna M., Yeasin, Mohammed, Hontecillas, Raquel, Bassaganya-Riera, Josep, Zand, Ramin
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI 2020
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7795258/
https://ncbi.nlm.nih.gov/pubmed/33396741
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/jcm10010103
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