EXPACT NHANES dataset

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.本数据集应用于《EXPACT：美国全因死亡率的可解释复杂机器学习预测》。美国国家健康与营养调查（NHANES）由国家健康统计中心（NCHS） ootnote[1]{http://www.cdc.gov/nchs/nhanes.htm}负责实施，通过对美国各年龄段人群进行访谈和体格检查，以评估其健康状况和营养数据。访谈内容涵盖人口统计、社会经济、饮食和健康相关问题。体检包括医学、牙科、生理测量和由高级医疗人员进行的实验室检测。自1999年起，数据每隔两年收集并发布一次。每年NHANES对大约5,000名美国全国代表性样本进行考察。在本研究中，我们包括了1999年至2014年间采样的NHANES数据。全因死亡率通过链接的NHANES死亡率文件确定，该文件提供了从调查参与日期至2015年12月31日的后续死亡率数据。本研究包括已知死亡状态的、参与了1999-2014年NHANES的样本（n = 47,261）。我们包括了所有可能在不同NHANES周期中自动匹配的的人口统计、实验室、体检和问卷特征。

搜集汇总

背景与挑战

背景概述

EXPACT NHANES dataset是一个基于美国国家健康与营养检查调查（NHANES）的健康数据集，包含1999年至2014年47,261名参与者的数据，用于预测全因死亡率。数据经过预处理，保留了133个特征，并采用机器学习方法填补缺失值，支持可解释的复杂机器学习研究，适用于不同随访时间和年龄组的死亡率分析。