镰状细胞病患者在医疗保健中的参与:一项文献研究的数据集
镰状细胞病患者参与医疗保健的文献研究数据集,包含疾病体验、种族议题及自主决策等主题的科学出版物。

基本信息
资源简介
镰状细胞病患者在医疗保健中的参与:一项文献研究的数据集
【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 5.63 KB,主题涵盖 Sickle cell disease、Participation、Literature review、Qualitative research,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《The participation of cohabitants with sickle cell disease in health care: a bibliographic study》。源站首次发布:2021-03-24。
【数据内容】
源站原始描述:Abstract This paper aims to analyze the published scientific production about the participation of the sickle cell disease (SCD) subjects and their relatives, and the autonomy and social aspects of these individuals. A qualitative bibliographic search with the Portuguese-equivalent keywords “sickle cell disease” and “participation” was used. As a result, the following themes appeared: (1) Experience of illness, highlighting coexistence and ethnic-racial issues; (2) Participation in research and…
【数据结构与技术规格】
文件数 1 个,合计 5.63 KB。数据集 DOI:10.6084/m9.figshare.14284200.v1。
【主题与分类】
源站学科分类:Health Policy。主题标签:Sickle cell disease、Participation、Literature review、Qualitative research。
【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://scielo.figshare.com/articles/dataset/The_participation_of_cohabitants_with_sickle_cell_disease_in_health_care_a_bibliographic_study/14284200
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Lopes, Winnie Samanú de Lima; Gomes, Romeu (2020). The participation of cohabitants with sickle cell disease in health care: a bibliographic study. SciELO journals. Dataset
【使用注意】
· 源站最后修改于 2023-06-02,引用时请注意版本时效。
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:The participation of cohabitants with sickle cell disease in health care: a bibliographic study
- DOI:10.6084/m9.figshare.14284200.v1
- 发布日期:2021-03-24
- 文件数:1 个
- 文件总体积:5.63 KB
- 源站页面:https://scielo.figshare.com/articles/dataset/The_participation_of_cohabitants_with_sickle_cell_disease_in_health_care_a_bibliographic_study/14284200
命令行下载
curl -L -o "Table_1.xls" "https://ndownloader.figshare.com/files/27135456"
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
Abstract This paper aims to analyze the published scientific production about the participation of the sickle cell disease (SCD) subjects and their relatives, and the autonomy and social aspects of these individuals. A qualitative bibliographic search with the Portuguese-equivalent keywords “sickle cell disease” and “participation” was used. As a result, the following themes appeared: (1) Experience of illness, highlighting coexistence and ethnic-racial issues; (2) Participation in research and the perspective of health professionals on SCD; and (3) Autonomy of cohabitants and decision-making. We can conclude that the promotion of the participation of these patients in the studies, either instrumentally, or to contextualize the results better, or – still – to enrich the authors’ conclusions, can intentionally or unintentionally contribute to the greater visibility of the problem that involves being a SCD cohabitant for the subjects and their relatives. The duty to analyze intersectionally the entire context of the patient and his family context is also highlighted.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.6084/m9.figshare.14284200.v1(source: https://scielo.figshare.com/articles/dataset/The_participation_of_cohabitants_with_sickle_cell_disease_in_health_care_a_bibliographic_study/14284200)。
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。




