scholarly journals Identifying depression in the National Health and Nutrition Examination Survey data using a deep learning algorithm

2019 ◽  
Vol 257 ◽  
pp. 623-631 ◽  
Author(s):  
Jihoon Oh ◽  
Kyongsik Yun ◽  
Uri Maoz ◽  
Tae-Suk Kim ◽  
Jeong-Ho Chae
Keyword(s):  
Deep Learning ◽  
Survey Data ◽  
National Health ◽  
Learning Algorithm ◽  
Nutrition Examination Survey ◽  
Deep Learning Algorithm ◽  
Health And Nutrition

scholarly journals Comparative analysis of the National Health and Nutrition Examination Survey public-use and restricted-use linked mortality files

2021 ◽  
Author(s):  
Lisa Mirel ◽  
Cindy Zhang ◽  
Christine Cox ◽  
Ye Yeats ◽  
Félix Suad El Burai ◽  
...  
Keyword(s):  
Comparative Analysis ◽  
Survey Data ◽  
National Health ◽  
Cox Proportional Hazards ◽  
Nutrition Examination Survey ◽  
Health Statistics ◽  
Statistical Research ◽  
Health And Nutrition ◽  
Restricted Use ◽  
Public Use Files

"Objectives—Linking national survey data with administrative data sources enables researchers to conduct analyses that would not be possible with each data source alone. Recently, the Data Linkage Program at the National Center for Health Statistics (NCHS) released updated Linked Mortality Files, including the National Health and Nutrition Examination Survey data linked to the National Death Index mortality files. Two versions of the files were released: restricted-use files available through NCHS and Federal Statistical Research Data Centers and public-use files. To reduce the reidentification risk, statistical disclosure limitation methods were applied to the public-use files before they were released. This included limiting the amount of mortality information available and perturbing cause of death and follow-up time for select records. Methods—To assess the comparability of the restricted-use and public-use files, relative hazard ratios for all-cause and cause-specific mortality using Cox proportional hazards models were estimated and compared. Results—The comparative analysis found that the two data files yield similar descriptive and model results. Suggested citation: Mirel LB, Zhang C, Cox CS, Ye Y, El Burai Félix S, Golden C. Comparative analysis of the National Health and Nutrition Examination Survey public-use and restricted-use linked mortality files. National Health Statistics Reports; no 155. Hyattsville, MD: National Center for Health Statistics. 2021. DOI: https://doi.org/10.15620/cdc:104744. CS323656 nhsr155-508.pdf"

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