人口统计学参数(n=691)
土耳其2019年691例急诊急性荨麻疹患者人口统计学参数及关联气象数据,用于分析荨麻疹与天气因素关系。

基本信息
资源简介
人口统计学参数(n=691)
【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 5.63 KB,主题涵盖 univariable regression model、erzurum meteorology directorate、higher humidity rates、higher temperature rates、regarding relative humidity,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《Demographic parameters (n = 691).》。源站首次发布:2023-09-13。
【数据内容】
源站原始描述:The study aimed to investigate the relationship between the patients who applied to the emergency department with acute urticarial and meteorological factors and determine the associated weather conditions. The relationship between acute urticaria patients who applied to the emergency department of a training and research hospital in a city with high altitude and continental climate characteristics in the eastern part of Turkey between January 2019 and December 2019 and meteorological data was e…
【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.0290535.t001。
【主题与分类】
源站学科分类:Medicine、Environmental Sciences not elsewhere classified、Biological Sciences not elsewhere classified、Science Policy。主题标签:univariable regression model、erzurum meteorology directorate、higher humidity rates、higher temperature rates、regarding relative humidity、sunshine hour increased、emergency department diagnosed、continental climate characteristics、associated weather conditions、3 &# 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/Demographic_parameters_n_691_/24133884
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Delice, Orhan; Utlu, Sibel Güçlü; Arslan, Şenol; Doru, Halil Ibrahim; Daş, Murat (2023). Demographic parameters (n = 691).. 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:Demographic parameters (n = 691).
- DOI:10.1371/journal.pone.0290535.t001
- 发布日期:2023-09-13
- 文件数:1 个
- 文件总体积:5.63 KB
- 源站页面:https://plos.figshare.com/articles/dataset/Demographic_parameters_n_691_/24133884
命令行下载
curl -L -o "Table 1.xls" "https://ndownloader.figshare.com/files/42341406"
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
The study aimed to investigate the relationship between the patients who applied to the emergency department with acute urticarial and meteorological factors and determine the associated weather conditions. The relationship between acute urticaria patients who applied to the emergency department of a training and research hospital in a city with high altitude and continental climate characteristics in the eastern part of Turkey between January 2019 and December 2019 and meteorological data was evaluated retrospectively. The necessary data for the weather were obtained from the data of the Erzurum Meteorology Directorate, and the patient data were obtained from the hospital information management system and patient files. The meteorological data of the patients at the date of admission and the characteristics of the patients at that date were compared. The study identified 691 patients who applied to the emergency department diagnosed with urticaria in 2019. According to the seasons, it was observed that the patients applied most frequently in the summer months [n = 239; 34.6%]. In the univariable regression model, which was created by taking the values of weather events as a reference on the days when the urticaria presentation was not observed (Group I), it was determined that every 1-hour increase in the sunshine hour increased the probability of urticaria by 7.4% (p = 0.018). When the meteorological parameters on the days without urticaria (Group I) and the days with urticaria presentation (Group II) were compared, the sunshine hours were 7.9 (4.0–10.6) hours in Group II and 6.65 (3.3–8.85) hours in Group I (p = 0.001). Regarding relative humidity, higher humidity rates were observed in Group I compared to Group II (p = 0.009). In terms of mean temperature, daily maximum, and minimum temperature, higher temperature rates were detected in Group II (p<0.001). A relationship was determined between urticaria attacks and relative humidity and daily maximum and minimum temperature in patients who applied to the emergency department with acute urticaria.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.1371/journal.pone.0290535.t001(source: https://plos.figshare.com/articles/dataset/Demographic_parameters_n_691_/24133884)。
需要用于商业化训练或医疗器械注册(NMPA/FDA)?
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