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EXPACT NHANES dataset

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IEEE2020-07-30 更新2026-04-17 收录
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https://ieee-dataport.org/documents/expact-nhanes-dataset
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The dataset is used in EXPACT: Explainable complex machine learning prediction of all-cause mortality in the U.S.The National Health and Nutrition Examination Survey (NHANES) from the National Center for Health Statistics (NCHS) \footnote[1]{http://www.cdc.gov/nchs/nhanes.htm} conducts interviews and physical examinations to assess the health and nutrition data for all ages in the United States. The interviews include demographic, socioeconomic, dietary, and health-related questions. The examinations include medical, dental, physiological measurements, and laboratory tests administered by highly trained medical personnel. Since 1999, data was collected and released at 2-year intervals. Each year NHANES examines a nationally representative sample of roughly 5,000 individuals across the Unites States. In this study, we include NHANES data sampled between 1999 and 2014. All-cause mortality is ascertained by a linked NHANES mortality file that provides follow-up mortality data from the date of survey participation through December 31, 2015.Our study includes samples with known mortality status who participated in NHANES 1999-2014 (n = 47,261). We include all demographic, laboratory, examination, and questionnaire features that could be automatically matched across different NHANES cycles.
提供机构:
Qiu, Wei
创建时间:
2020-07-30
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