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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Veröffentlicht in:J Clin Med
Hauptverfasser: 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
Format: Artigo
Sprache:Inglês
Veröffentlicht: MDPI 2020
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Article
Online Zugang: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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