综合发现概述:流程
关于人群癌症筛查中风险分层可接受性的系统综述数据集,涵盖乳腺癌与卵巢癌,基于文献分析。

基本信息
资源简介
综合发现概述:流程
【数据集背景】
本数据集源站标题为《Overview of the synthesised findings: Process.》。源站首次发布:2023-02-24。
【数据内容】
源站原始描述:Background Introduction of risk stratification within population-based cancer screening programmes has the potential to optimise resource allocation by targeting screening towards members of the population who will benefit from it most. Endorsement from healthcare professionals is necessary to facilitate successful development and implementation of risk-stratified interventions. Therefore, this review aims to explore whether using risk stratification within population-based cancer screening prog…
【数据结构与技术规格】
文件数 1 个,合计 9.73 KB。Table 8.xls:application/vnd.ms-excel,9.73 KB。数据集 DOI:10.1371/journal.pone.0279201.t008。
【主题与分类】
源站学科分类:Biotechnology、Biological Sciences not elsewhere classified、Mathematical Sciences not elsewhere classified、Cancer、Science Policy。主题标签:mixed methods analysis、facilitate successful development、one considering screening、optimise resource allocation、breast cancer screening、based cancer screening、successfully facilitate implementation、xlink "> introduction、broadly considered acceptable、implementation research using。
【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/Overview_of_the_synthesised_findings_Process_/22158931
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Taylor, Lily C.; Law, Katie; Hutchinson, Alison; Dennison, Rebecca A.; Usher-Smith, Juliet A. (2023). Overview of the synthesised findings: Process.. PLOS ONE. Dataset
【使用注意】
· 源站最后修改于 2023-06-21,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:Overview of the synthesised findings: Process.
- DOI:10.1371/journal.pone.0279201.t008
- 发布日期:2023-02-24
- 文件数:1 个
- 文件总体积:9.73 KB
- 源站页面:https://plos.figshare.com/articles/dataset/Overview_of_the_synthesised_findings_Process_/22158931
命令行下载
curl -L -o "Table 8.xls" "https://ndownloader.figshare.com/files/39395227"
文件清单
Table 8.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
Background
Introduction of risk stratification within population-based cancer screening programmes has the potential to optimise resource allocation by targeting screening towards members of the population who will benefit from it most. Endorsement from healthcare professionals is necessary to facilitate successful development and implementation of risk-stratified interventions. Therefore, this review aims to explore whether using risk stratification within population-based cancer screening programmes is acceptable to healthcare professionals and to identify any requirements for successful implementation.
Methods
We searched four electronic databases from January 2010 to October 2021 for quantitative, qualitative, or primary mixed methods studies reporting healthcare professional and/or other stakeholder opinions on acceptability of risk-stratified population-based cancer screening. Quality of the included studies was assessed using the Mixed Methods Appraisal Tool. Data were analysed using the Joanna Briggs Institute convergent integrated approach to mixed methods analysis and mapped onto the Consolidated Framework for Implementation Research using a ‘best fit’ approach. PROSPERO record CRD42021286667.
Results
A total of 12,039 papers were identified through the literature search and seven papers were included in the review, six in the context of breast cancer screening and one considering screening for ovarian cancer. Risk stratification was broadly considered acceptable, with the findings covering all five domains of the framework: intervention characteristics, outer setting, inner setting, characteristics of individuals, and process. Across these five domains, key areas that were identified as needing further consideration to support implementation were: a need for greater evidence, particularly for de-intensifying screening; resource limitations; need for staff training and clear communication; and the importance of public involvement.
Conclusions
Risk stratification of population-based cancer screening programmes is largely acceptable to healthcare professionals, but support and training will be required to successfully facilitate implementation. Future re
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.1371/journal.pone.0279201.t008(source: https://plos.figshare.com/articles/dataset/Overview_of_the_synthesised_findings_Process_/22158931)。
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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