CPRD数据库中2006-2015年新发糖尿病患者的特征

包含2006-2015年CPRD数据库中新发糖尿病患者的特征,比较初级和仅二级保健识别的患者差异。

Figshare
2016-09-16 更新
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表格UK Biobank self-reportedSecondary care dataNational Health Service registrantsType 2 diabetescare Read codestype 2 diabetes-specific C 10F Read codeUK BiobankICD -10 type 2 diabetescorroborative evidencetype 2 diabetes codeshealthcare data linkageincident diabetes
Characteristics of those with incident diabetes from 1st January 2006 to 1st January 2015, comparing those identified in primary care (with or without secondary care diagnosis) and those identified in secondary care alone in the CPRD database

基本信息

模态
表格
大小
0.000009728 GB
许可
CC BY 4.0
创建/更新时间
2016-09-16
版本
v1

资源简介

CPRD数据库中2006-2015年新发糖尿病患者的特征

【数据集背景】

本数据集源站标题为《Characteristics of those with incident diabetes from 1st January 2006 to 1st January 2015, comparing those identified in primary care (with or without secondary care diagnosis) and those identified in secondary care alone in the CPRD database.》。配套论文《Algorithms for the Capture and Adjudication of Prevalent and Incident Diabetes in UK Biobank》发表于 PLOS ONE(2016),DOI:10.1371/journal.pone.0162388。源站首次发布:2016-09-15。

【数据内容】

源站原始描述:Characteristics of those with incident diabetes from 1st January 2006 to 1st January 2015, comparing those identified in primary care (with or without secondary care diagnosis) and those identified in secondary care alone in the CPRD database

【数据结构与技术规格】

文件数 1 个,合计 9.73 KB。Table 5.xls:application/vnd.ms-excel,9.73 KB。数据集 DOI:10.1371/journal.pone.0162388.t005。

【主题与分类】

源站学科分类:Biotechnology、Chemical Sciences not elsewhere classified、Biological Sciences not elsewhere classified、Marine Biology、Science Policy、Infectious Diseases。主题标签:UK Biobank self-reported、Secondary care data、National Health Service registrants、Type 2 diabetes、care Read codes、type 2 diabetes-specific C 10F Read code、type 2 diabetes、UK Biobank、ICD -10 type 2 diabetes、corroborative evidence。

【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/Characteristics_of_those_with_incident_diabetes_from_1_sup_st_sup_January_2006_to_1st_January_2015_comparing_those_identified_in_primary_care_with_or_without_secondary_care_diagnosis_and_those_identified_in_secondary_care_alone_in_the_CPRD_database_/3836682

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

规范引用:Eastwood, Sophie V; Mathur, Rohini; Atkinson, Mark; Brophy, Sinead; Sudlow, Cathie; Flaig, Robin; et al. (2016). Characteristics of those with incident diabetes from 1st January 2006 to 1st January 2015, comparing those identified in primary care (with or without secondary care diagnosis) and those…

【使用注意】

· 源站最后修改于 2023-06-03,引用时请注意版本时效。

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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。

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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。

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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。

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使用方式

数据集获取(Figshare)

命令行下载

curl -L -o "Table 5.xls" "https://ndownloader.figshare.com/files/5990337"

文件清单

  • Table 5.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

Characteristics of those with incident diabetes from 1st January 2006 to 1st January 2015, comparing those identified in primary care (with or without secondary care diagnosis) and those identified in secondary care alone in the CPRD database.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0162388.t005(source: https://plos.figshare.com/articles/dataset/Characteristics_of_those_with_incident_diabetes_from_1_sup_st_sup_January_2006_to_1st_January_2015_comparing_those_identified_in_primary_care_with_or_without_secondary_care_diagnosis_and_those_identified_in_secondary_care_alone_in_the_CPRD_database_/3836682)。

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。