数据表1:准确诊断大疱性类天疱疮需要多次就诊
基于芬兰两家医院EHR数据验证ICD-10 L12.0诊断大疱性类天疱疮准确性的补充数据表。

基本信息
资源简介
数据表1:准确诊断大疱性类天疱疮需要多次就诊
【一句话概览】
本数据集是 figshare 公开的文本数据集,收录 1 个文件、合计 11.27 KB,主题涵盖 bullous pemphigoid、diagnosis validation、ICD-10 code、incidence、positive predictive value,可用于医学自然语言处理(实体识别、信息抽取等),CC BY 4.0 许可开放获取。
【数据集背景】
本数据集源站标题为《DataSheet_1_Accurate diagnosis of bullous pemphigoid requires multiple health care visits.pdf》。配套论文《Validation study of bullous pemphigoid and pemphigus vulgaris recording in routinely collected electronic primary healthcare records in England》发表于 BMJ Open(2020),DOI:10.1136/bmjopen-2019-035934。源站首次发布:2023-11-27。
【数据内容】
源站原始描述:IntroductionAccurate use of diagnostic codes is crucial for epidemiological and genetic research based on electronic health record (EHR) data. MethodsThis retrospective study validated the International Classification of Diseases (ICD)-10 diagnostic code L12.0 for bullous pemphigoid (BP) using EHR data from two Finnish university hospitals. We found 1225 subjects with at least one EHR entry of L12.0 between 2009 and 2019. BP diagnosis was based on clinical findings characteristic of BP and posit…
【数据结构与技术规格】
文件数 1 个,合计 11.27 KB。DataSheet_1_Accurate diagnosis of bullous pemphigoid requires multiple health care visits.pdf:application/pdf,11.27 KB。数据集 DOI:10.3389/fimmu.2023.1281302.s001。
【主题与分类】
源站学科分类:Transplantation Immunology、Tumour Immunology、Immunology not elsewhere classified、Immunology、Veterinary Immunology、Animal Immunology。主题标签:bullous pemphigoid、diagnosis validation、ICD-10 code、incidence、positive predictive value。
【适用方向】
文本类数据可用于医学自然语言处理,如命名实体识别、信息抽取与文本分类。
【获取与许可】
源站页面:https://frontiersin.figshare.com/articles/dataset/DataSheet_1_Accurate_diagnosis_of_bullous_pemphigoid_requires_multiple_health_care_visits_pdf/24636381
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Leisti, Päivi; Pankakoski, Anna; Jokelainen, Jari; Varpuluoma, Outi; Huilaja, Laura; Panelius, Jaana; et al. (2023). DataSheet_1_Accurate diagnosis of bullous pemphigoid requires multiple health care visits.pdf. Frontiers. 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:DataSheet_1_Accurate diagnosis of bullous pemphigoid requires multiple health care visits.pdf
- DOI:10.3389/fimmu.2023.1281302.s001
- 发布日期:2023-11-27
- 文件数:1 个
- 文件总体积:11.27 KB
- 源站页面:https://frontiersin.figshare.com/articles/dataset/DataSheet_1_Accurate_diagnosis_of_bullous_pemphigoid_requires_multiple_health_care_visits_pdf/24636381
命令行下载
curl -L -o "DataSheet_1_Accurate diagnosis of bullous pemphigoid requires multiple health care visits.pdf" "https://ndownloader.figshare.com/files/43295052"
文件清单
DataSheet_1_Accurate diagnosis of bullous pemphigoid requires multiple health care visits.pdf(11.27 KB)
文件总体积 11.27 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
IntroductionAccurate use of diagnostic codes is crucial for epidemiological and genetic research based on electronic health record (EHR) data.
MethodsThis retrospective study validated the International Classification of Diseases (ICD)-10 diagnostic code L12.0 for bullous pemphigoid (BP) using EHR data from two Finnish university hospitals. We found 1225 subjects with at least one EHR entry of L12.0 between 2009 and 2019. BP diagnosis was based on clinical findings characteristic of BP and positive findings on direct immunofluorescence (DIF), BP180-NC16A enzyme-linked immunosorbent assay (ELISA) or indirect immunofluorescence (IIF) assay.
ResultsTrue BP was found in 901 patients; the positive predictive value (PPV) for L12.0 was 73.6% (95% CI 71.0-76.0). L12.0 was more accurately registered in dermatology units than any specialized health care units (pOne diagnostic code of L12.0 is not enough to recognize BP in a large epidemiological data set; including only L12.0 registered in dermatology units and excluding cases with <3 L12.0 record entries markedly increases the PPV of BP diagnosis.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.3389/fimmu.2023.1281302.s001(source: https://frontiersin.figshare.com/articles/dataset/DataSheet_1_Accurate_diagnosis_of_bullous_pemphigoid_requires_multiple_health_care_visits_pdf/24636381)。
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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