A Machine Learning-Based Multiple Imputation Method for the Health and Aging Brain Study–Health Disparities

A Machine Learning-Based Multiple Imputation Method for the Health and Aging Brain Study–Health Disparities

The Health and Aging Brain Study–Health Disparities (HABS–HD) project seeks to understand the biological, social, and environmental factors that impact brain aging among diverse communities. A common issue for HABS–HD is missing data. It is impossible to achieve accurate machine learning (ML) if dat...

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Podrobná bibliografie
Hlavní autoři: Fan Zhang, Melissa Petersen, Leigh Johnson, James Hall, Raymond F. Palmer, Sid E. O’Bryant, on behalf of the Health and Aging Brain Study (HABS–HD) Study Team
Médium: Článek
Jazyk:English
Vydáno: MDPI AG 2023-10-01
Edice:Informatics
Témata:
Alzheimer’s disease
blood biomarkers
machine learning
multiple imputation
missing data
On-line přístup:https://www.mdpi.com/2227-9709/10/4/77

Internet

https://www.mdpi.com/2227-9709/10/4/77

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