热图的颜色描述
提供热图颜色描述,支持基于NHANES数据的糖尿病治疗和疫苗接种医疗不公平分析。

基本信息
资源简介
热图的颜色描述
【数据集背景】
本数据集源站标题为《Color description for heatmap.》。源站首次发布:2023-11-16。
【数据内容】
源站原始描述:Disparities in healthcare access and utilization associated with demographic and socioeconomic status hinder advancement of health equity. Thus, we designed a novel equity-focused approach to quantify variations of healthcare access/utilization from the expectation in national target populations. We additionally applied survey-weighted logistic regression models, to identify factors associated with usage of a particular type of health care. To facilitate generation of analysis datasets, we built…
【数据结构与技术规格】
文件数 1 个,合计 5.63 KB。Table 1.xls:application/vnd.ms-excel,5.63 KB。数据集 DOI:10.1371/journal.pone.0290692.t001。
【主题与分类】
源站学科分类:Medicine、Biotechnology、Biological Sciences not elsewhere classified、Cancer、Science Policy。主题标签:widely used drugs、subjects &# 8217、rising wealth levels、rising education levels、nutrition examination survey、income groups received、help automate source、comprehensive gardasil vaccine、among women vaccinated、additionally applied survey。
【适用方向】
影像类数据可用于医学图像分析模型(检测、分割、分类)的训练与评测,也可用于标注质量与成像参数相关性的研究。
【获取与许可】
源站页面:https://plos.figshare.com/articles/dataset/Color_description_for_heatmap_/24575422
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Qi, Miao; Santos, Henrique; Pinheiro, Paulo; McGuinness, Deborah L.; Bennett, Kristin P. (2023). Color description for heatmap.. PLOS ONE. Dataset
下载信息
注册下载
需要注册 Kaggle 账号并登录后下载,适合需要跟踪下载记录和使用 API 的用户。
暂未开放公开下载
无需注册即可直接获取公开样本或文档,适合快速预览和评估数据集质量。
免登录当前数据集主要来源为 Kaggle 公开托管,完整影像包建议通过原始链接或 Kaggle API 获取。
使用方式
数据集获取(Figshare)
- 源站标题:Color description for heatmap.
- DOI:10.1371/journal.pone.0290692.t001
- 发布日期:2023-11-16
- 文件数:1 个
- 文件总体积:5.63 KB
- 源站页面:https://plos.figshare.com/articles/dataset/Color_description_for_heatmap_/24575422
命令行下载
curl -L -o "Table 1.xls" "https://ndownloader.figshare.com/files/43169563"
文件清单
Table 1.xls(5.63 KB)
文件总体积 5.63 KB(源站 API 实测)。
数据说明
Disparities in healthcare access and utilization associated with demographic and socioeconomic status hinder advancement of health equity. Thus, we designed a novel equity-focused approach to quantify variations of healthcare access/utilization from the expectation in national target populations. We additionally applied survey-weighted logistic regression models, to identify factors associated with usage of a particular type of health care. To facilitate generation of analysis datasets, we built an National Health and Nutrition Examination Survey (NHANES) knowledge graph to help automate source-level dynamic analyses across different survey years and subjects’ characteristics. We performed a cross-sectional subgroup disparity analysis of 2013-2018 NHANES on U.S. adults for receipt of diabetes treatments and vaccines against Hepatitis A (HAV), Hepatitis B (HBV), and Human Papilloma (HPV). Results show that in populations with hemoglobin A1c level ≥6%, patients with non-private insurance were less likely to receive newer and more beneficial antidiabetic medications; being Asian further exacerbated these disparities. For widely used drugs such as insulin, Asians experienced insignificant disparities in odds of prescription compared to White patients but received highly inadequate treatments with regard to their distribution in U.S. diabetic population. Vaccination rates were associated with some demographic/socioeconomic factors but not the others at different degrees for different diseases. For instance, while equity scores increase with rising education levels for HBV, they decrease with rising wealth levels for HPV. Among women vaccinated against HPV, minorities and poor communities usually received Cervarix while non-Hispanic White and higher-income groups received the more comprehensive Gardasil vaccine. Our study identified and quantified the impact of determinants of healthcare utilization for antidiabetic medications and vaccinations. Our new methods for semantics-aware disparity analysis of NHANES data could be readily generalized to other public health goals to support more rapid identification of disparities and development of policies, thus advancing he
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.1371/journal.pone.0290692.t001(source: https://plos.figshare.com/articles/dataset/Color_description_for_heatmap_/24575422)。
需要用于商业化训练或医疗器械注册(NMPA/FDA)?
公开数据往往缺乏完整的病理回证与专家标注。千方医数集依托陕川双基地与超十家三甲医院直连,提供完全合规、去标识化、支持注册级质控的专病数据集交易服务。




