纳入研究的特征

包含12项研究15篇文章的特征数据,聚焦低收入和中等收入国家癌症患者利用数字技术获取社交支持,主要癌症类型为乳腺癌。

NIAID Data Ecosystem
浏览 15
表格online health communitiesfour electronic databasesxlink "> cancertechnological interventions reportedincluded adults diagnosedprovide social supportcancer social supportsocial supportprovide supportindividuals diagnosedcancer preventionunderrepresented regions
Characteristics of included studies.

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
2026-11-03
版本
v1

资源简介

纳入研究的特征

【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 9.73 KB,主题涵盖 online health communities、four electronic databases、technological interventions reported、included adults diagnosed、provide social support,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《Characteristics of included studies.》。源站首次发布:2025-04-21。

【数据内容】

源站原始描述:Cancer is a rising cause of morbidity and mortality in low- and middle-income countries (LMICs). Individuals diagnosed with cancer in LMICs often have limited access to cancer prevention, diagnosis, and treatment services. Digital technologies, such as the Internet and mobile phones, could be used to provide support to individuals with cancer in a more accessible way. The goal of this scoping review is to understand how digital technology is being utilized by individuals with cancer for social s…

【数据结构与技术规格】

文件数 1 个,合计 9.73 KB。Table 1.xls:application/vnd.ms-excel,9.73 KB。数据集 DOI:10.1371/journal.pdig.0000609.t001。

【主题与分类】

源站学科分类:Ecology、Science Policy、Biological Sciences not elsewhere classified、Information Systems not elsewhere classified、Cancer。主题标签:online health communities、four electronic databases、technological interventions reported、included adults diagnosed、provide social support、cancer social support、social support、provide support、individuals diagnosed、cancer prevention。

【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_included_studies_/28832606

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

规范引用:Dau, Hallie; Kassam, Fazila; Payne, Beth A.; Miller, Hana; Ogilvie, Gina (2025). Characteristics of included studies.. PLOS Digital Health. Dataset

官方服务

专家保障全链路合规授权与标注交付

陕川双基地 × 超十家三甲医院直连

从合规授权、采集治理、专业标注到数据集交付,我们提供全链路闭环服务,让高质量临床数据即拿即用。

⚡️ 需要原始数据或标注支持?联系我们获取定制方案。

帮我联系

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。

免费样本无法满足模型训练要求?千方提供经三甲医院脱敏、带病理回证与专家标注的商业级专病数据集。

使用方式

数据集获取(Figshare)

命令行下载

curl -L -o "Table 1.xls" "https://ndownloader.figshare.com/files/53858846"

文件清单

  • Table 1.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

Cancer is a rising cause of morbidity and mortality in low- and middle-income countries (LMICs). Individuals diagnosed with cancer in LMICs often have limited access to cancer prevention, diagnosis, and treatment services. Digital technologies, such as the Internet and mobile phones, could be used to provide support to individuals with cancer in a more accessible way. The goal of this scoping review is to understand how digital technology is being utilized by individuals with cancer for social support in LMICs. Four electronic databases were searched up to June 2024 to identify studies that reported on the use of digital technology for cancer social support in LMICs. Articles were included if they were published in English, included adults diagnosed with any type of cancer, and reported the use of digital technology for social support. Study characteristics, population demographics, and technological interventions reported were extracted. In all, 15 articles from 12 studies were included in the scoping review. Only four countries utilized digital technology for social support: China, Iran, Kenya, and Serbia. The most common cancer type reported was breast. Online health communities, Internet-based resources, mobile applications, and telecommunication were the four digital technologies reported. Overall, the articles demonstrated that the use of digital technology for social support can be beneficial for individuals diagnosed with cancer in LMICs. We found that digital technology may improve quality of life, reduce anxiety and depression, and allow individuals to connect with other individuals diagnosed with cancer. We concluded that there is a limited understanding of how digital technology can be used to support individuals with cancer in LMICs. Future research is needed to explore how digital technology can be utilized by underrepresented regions to offer avenues of support for regionally common cancer types such as cervical.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pdig.0000609.t001(source: https://plos.figshare.com/articles/dataset/Characteristics_of_included_studies_/28832606)。

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。