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...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:J Clin Med
Hlavní autoři: 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
Médium: Artigo
Jazyk:Inglês
Vydáno: MDPI 2020
Témata:
Article
On-line přístup: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
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo otaguje tento záznam!

Podobné jednotky