强直性脊柱炎患者体验定性研究系统评价数据集
该数据集为强直性脊柱炎患者体验的定性研究系统评价,涵盖诊断、症状、社会角色和疾病应对四个主题,以文本形式呈现。

基本信息
资源简介
强直性脊柱炎患者体验定性研究系统评价数据集
【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 17.92 KB,主题涵盖 provide personalized interventions、joanna briggs institute、jbi ), australia、relevant qualitative studies、qualitative research literature,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《Study characteristic.》。源站首次发布:2024-10-17。
【数据内容】
源站原始描述:Objectives The systematic evaluation of relevant qualitative studies on the experiences of patients with ankylosing spondylitis provides a foundation for the clinical development of personalized disease management programs for this patient category. Methods Multiple databases, including PubMed, Web of Science, Embase, Cochrane Library, CINAHL, Scopus, CNKI, Wanfang, CBM, and VIP, were searched for qualitative research literature on the experiences of patients with ankylosing spondylitis from the…
【数据结构与技术规格】
文件数 1 个,合计 17.92 KB。Table 1.xls:application/vnd.ms-excel,17.92 KB。数据集 DOI:10.1371/journal.pone.0311798.t001。
【主题与分类】
源站学科分类:Biotechnology、Cancer、Science Policy、Infectious Diseases。主题标签:provide personalized interventions、joanna briggs institute、jbi ), australia、relevant qualitative studies、qualitative research literature、patients &# 8217、ankylosing spondylitis provides、quality evaluation standard、qualitative research、ankylosing spondylitis。
【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://plos.figshare.com/articles/dataset/Study_characteristic_/27251005
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Li, Yu; Ma, Dongchi; Yang, Lili (2024). Study characteristic.. 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:Study characteristic.
- DOI:10.1371/journal.pone.0311798.t001
- 发布日期:2024-10-17
- 文件数:1 个
- 文件总体积:17.92 KB
- 源站页面:https://plos.figshare.com/articles/dataset/Study_characteristic_/27251005
命令行下载
curl -L -o "Table 1.xls" "https://ndownloader.figshare.com/files/49854010"
文件清单
Table 1.xls(17.92 KB)
文件总体积 17.92 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 systematic evaluation of relevant qualitative studies on the experiences of patients with ankylosing spondylitis provides a foundation for the clinical development of personalized disease management programs for this patient category.
Methods
Multiple databases, including PubMed, Web of Science, Embase, Cochrane Library, CINAHL, Scopus, CNKI, Wanfang, CBM, and VIP, were searched for qualitative research literature on the experiences of patients with ankylosing spondylitis from the inception of databases to March 2024. Eligible studies were included, and quality was assessed using the quality evaluation standard of qualitative research at the Joanna Briggs Institute (JBI), Australia (2016). The results were integrated using the meta-aggregation approach.
Results
A total of 11 papers were included in the review. Four themes and 10 subthemes were synthesized: (1) difficulties in diagnosis and treatment; (2) effects of disease symptoms; (3) maladjustment of social roles; and (4) lack of support for disease response.
Conclusion
Medical staff should leverage the advantages of the Internet to enhance knowledge and education on ankylosing spondylitis. They should focus on patients’ mental health, assist in active self-management, provide personalized interventions, promote recovery, and improve the quality of life for patients. Additionally, society should offer a diverse range of support.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.1371/journal.pone.0311798.t001(source: https://plos.figshare.com/articles/dataset/Study_characteristic_/27251005)。
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。
⚡️ 需要数据支持或标注服务?立即联系我们获取专业方案。




