Self–Training With Quantile Errors for Multivariate Missing Data Imputation for Regression Problems in Electronic Medical Records: Algorithm Development Study

Background: When using machine learning in the real world, the missing value problem is the first problem encountered. Methods to impute this missing value include statistical methods such as mean, expectation-maximization, and multiple imputations by chained equations (MICE) as well as machine lear...

Celý popis

Podrobná bibliografie

Vydáno v:	JMIR public health and surveillance Ročník 7; číslo 10; s. e30824
Hlavní autoři:	Gwon, Hansle, Ahn, Imjin, Kim, Yunha, Kang, Hee Jun, Seo, Hyeram, Cho, Ha Na, Choi, Heejung, Jun, Tae Joon, Kim, Young-Hak
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Toronto JMIR Publications 01.10.2021
Témata:	Algorithms Artificial intelligence Correlation coefficient Datasets Health surveillance Laboratories Machine learning Medical records Missing data Original Paper Public health Statistical methods
ISSN:	2369-2960, 2369-2960
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!