研究对象的总体特征
包含2017-2021年韩国AMI患者住院和死亡数据的表格数据集,用于分析COVID-19对AMI入院和死亡率的影响。

基本信息
资源简介
研究对象的总体特征
【数据集背景】
本数据集源站标题为《General characteristics of study subjects.》。源站首次发布:2025-02-21。
【数据内容】
源站原始描述:Objectives The purpose of this study is to investigate the impact of COVID-19 on admission and in-hospital mortality of patients with acute myocardial infarction (AMI). Methods We constructed a dataset of monthly hospitalizations and mortality of inpatients with AMI from January 2017 to December 2021 utilizing the National Health Insurance Claims Data which covers nearly the entire population. Using an interrupted time series (ITS), we investigated how COVID-19 affected hospitalizations and in-h…
【数据结构与技术规格】
文件数 1 个,合计 9.73 KB。Table 1.xls:application/vnd.ms-excel,9.73 KB。数据集 DOI:10.1371/journal.pone.0316943.t001。
【主题与分类】
源站学科分类:Medicine、Biotechnology、Biological Sciences not elsewhere classified、Science Policy。主题标签:interrupted time series、december 2021 utilizing、acute myocardial infarction、2 &# 8211、000 population due、affect inpatient mortality、xlink "> overall、greatest among men、7 &# 8211、0 &# 8211。
【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/General_characteristics_of_study_subjects_/28460723
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Hwang, Soo-Hee; Chang, Youngs; Bai, Haibin; Yun, Jieun; Lee, Hyejin; Lee, Jin Yong (2025). General characteristics of study subjects.. 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)
- 源站标题:General characteristics of study subjects.
- DOI:10.1371/journal.pone.0316943.t001
- 发布日期:2025-02-21
- 文件数:1 个
- 文件总体积:9.73 KB
- 源站页面:https://plos.figshare.com/articles/dataset/General_characteristics_of_study_subjects_/28460723
命令行下载
curl -L -o "Table 1.xls" "https://ndownloader.figshare.com/files/52531103"
文件清单
Table 1.xls(9.73 KB)
文件总体积 9.73 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
Objectives
The purpose of this study is to investigate the impact of COVID-19 on admission and in-hospital mortality of patients with acute myocardial infarction (AMI).
Methods
We constructed a dataset of monthly hospitalizations and mortality of inpatients with AMI from January 2017 to December 2021 utilizing the National Health Insurance Claims Data which covers nearly the entire population. Using an interrupted time series (ITS), we investigated how COVID-19 affected hospitalizations and in-hospital deaths of patients with AMI.
Results
During the study period, the average age of patients with AMI was 65.2–65.8 years, and the ratio of men to women was higher, with 73.0–75.3% of patients being men and 24.7–27.0% being women. ITS analysis showed that admission rates of patients with AMI decreased one per 100,000 population due to COVID-19 (PConclusion
Overall, we found that COVID-19 had an impact on admission rates of patients with AMI but did not have a significant impact on in-hospital mortality. However, we also found differential impacts by sex, age, and socioeconomic status, indicating some may be more vulnerable. This highlights the importance of identifying and supporting these vulnerable populations to prevent poorer health outcomes.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.1371/journal.pone.0316943.t001(source: https://plos.figshare.com/articles/dataset/General_characteristics_of_study_subjects_/28460723)。
数据缺失?
依托陕西、四川两大基地,我们与超过十家三甲医院建立直接合作关系,覆盖合规授权、采集治理、专业标注、数据交付的全流程,为AI医疗团队提供即拿即用的高质量临床数据。
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