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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Detaylı Bibliyografya
Yayımlandı:J Clin Med
Asıl Yazarlar: 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
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: MDPI 2020
Konular:
Article
Online Erişim: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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