患者特征数据集

基于行政索赔数据的COVID-19患者特征回顾性队列研究数据集,分析分子检测方式对诊断和治疗时间的影响。

NIAID Data Ecosystem
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表格respiratory syncytial viruscoronavirus disease 20190241u (&# 8220mean &# 177included claims evidencecpt code 0240uidentified 2 groups4 versus 2standard deviation 1care molecular testingbased molecular testingsymptomatic patients suspected
Patient characteristics

基本信息

模态
表格
大小
0.000013824 GB
许可
CC BY 4.0
创建/更新时间
2026-10-07
版本
v1

资源简介

患者特征数据集

【一句话概览】

本数据集是 figshare 公开的结构化表格数据集,收录 1 个文件、合计 13.82 KB,主题涵盖 respiratory syncytial virus、coronavirus disease 2019、0241u (&# 8220、mean &# 177、included claims evidence,可用于统计建模、特征工程与队列分析,CC BY 4.0 许可开放获取。

【数据集背景】

本数据集源站标题为《Patient characteristics.》。源站首次发布:2024-11-11。

【数据内容】

源站原始描述:While molecular testing is recommended for symptomatic patients suspected of having coronavirus disease 2019 (COVID-19), limited data are available examining real-world use of tests for severe acute respiratory syndrome coronavirus (SARS-CoV-2) and the impact of SARS-CoV-2 testing on patient outcomes. In this retrospective cohort study using de-identified administrative claims data in the Optum Labs Data Warehouse, we identified 2 groups of patients with ≥1 outpatient claims with a procedure cod…

【数据结构与技术规格】

文件数 1 个,合计 13.82 KB。Table 1.xls:application/vnd.ms-excel,13.82 KB。数据集 DOI:10.1371/journal.pone.0313660.t001。

【主题与分类】

源站学科分类:Medicine、Biotechnology、Biological Sciences not elsewhere classified、Science Policy、Mental Health、Infectious Diseases。主题标签:respiratory syncytial virus、coronavirus disease 2019、0241u (&# 8220、mean &# 177、included claims evidence、cpt code 0240u、identified 2 groups、4 versus 2、standard deviation 1、care molecular testing。

【适用方向】

结构化表格数据可直接用于统计建模、特征工程与队列分析。

【获取与许可】

源站页面:https://plos.figshare.com/articles/dataset/Patient_characteristics_/27656374

使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。

规范引用:Stockl, Karen M.; Tucker, Jamie; Beaubrun, Anne; Certa, Julia M.; Becker, Laura; Chase, Jordan G. (2024). Patient characteristics.. PLOS ONE. Dataset

官方服务

专家保障全链路合规授权与标注交付

陕川双基地 × 超十家三甲医院直连

从合规授权、采集治理、专业标注到数据集交付,我们提供全链路闭环服务,让高质量临床数据即拿即用。

⚡️ 需要原始数据或标注支持?联系我们获取定制方案。

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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

有偿下载

公开数据集受托下载与技术交付服务。

提供高速下载与技术交付服务(收技术服务费,非数据销售)

暂未开放

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)

命令行下载

curl -L -o "Table 1.xls" "https://ndownloader.figshare.com/files/50363407"

文件清单

  • Table 1.xls(13.82 KB)

文件总体积 13.82 KB(源站 API 实测)。

数据加载示例(图像类)

from PIL import Image
import glob, os

files = (glob.glob(os.path.join(path, "**", "*.png"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.jpg"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.tif"), recursive=True))
print("图像文件数:", len(files))
img = Image.open(files[0]); print("尺寸/模式:", img.size, img.mode)

# torchvision Dataset 方式:
# from torchvision import datasets
# ds = datasets.ImageFolder(path)  # 要求 子目录=类别

目录组织与标注格式以源站说明和下载后实际文件为准。

数据说明

While molecular testing is recommended for symptomatic patients suspected of having coronavirus disease 2019 (COVID-19), limited data are available examining real-world use of tests for severe acute respiratory syndrome coronavirus (SARS-CoV-2) and the impact of SARS-CoV-2 testing on patient outcomes. In this retrospective cohort study using de-identified administrative claims data in the Optum Labs Data Warehouse, we identified 2 groups of patients with ≥1 outpatient claims with a procedure code for SARS-CoV-2 testing between January 2021 and September 2022. Group 1 had ≥1 claims with CPT code 0240U or 0241U (“Xpert Xpress”) (N = 51,602); Group 2 had ≥1 claims for laboratory-based molecular testing (N = 317,192). Outcomes assessed on the identification date and through the 90-day follow-up included claims evidence of use of SARS-CoV-2, influenza, and respiratory syncytial virus (RSV) tests, diagnosis of active COVID-19, influenza, or RSV, and use of treatments (antivirals for COVID-19, influenza, and RSV and other treatments for COVID-19 and RSV). Patients in Group 1 had fewer tests for SARS-CoV-2, influenza, or RSV (mean ± standard deviation 1.6±1.4 versus 2.6±2.6, standardized difference -0.45), faster time to diagnosis of COVID-19 (median 0 versus 4 days, standardized difference -0.27) or influenza (median 0 versus 5 days, standardized difference -0.74), and faster time to treatment of COVID-19, influenza, or RSV (median 1 versus 5 days, standardized difference 0.16) than patients in Group 2. In this nationwide real-world study of outpatient testing, use of point-of-care molecular multiplex SARS-CoV-2 testing resulted in fewer claims for SARS-CoV-2, influenza, and RSV tests, faster time to diagnosis, and faster time to treatment than laboratory-based molecular testing.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0313660.t001(source: https://plos.figshare.com/articles/dataset/Patient_characteristics_/27656374)。

数据缺失?

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