癌症
该数据集收录了一篇关于场所健康干预的范围综述,涵盖42项研究,涉及癌症等多种疾病。

基本信息
资源简介
癌症
【数据集背景】
本数据集源站标题为《Cancers.》。源站首次发布:2025-01-24。
【数据内容】
源站原始描述:Place-based health interventions may help reach underserved populations. This scoping review summarizes the peer-reviewed literature on the type and effects of place-based health interventions in unconventional public-facing business settings (e.g., retail and services). A literature search was conducted in PubMed, Google Scholar, and APA PsycNet for studies from 1990–2023. Inclusion criteria for studies were: conducted in the United States, delivered a health intervention, based on an unconvent…
【数据结构与技术规格】
文件数 1 个,合计 30.21 KB。Table 2.xls:application/vnd.ms-excel,30.21 KB。数据集 DOI:10.1371/journal.pone.0317815.t002。
【主题与分类】
源站学科分类:Medicine、Biotechnology、Environmental Sciences not elsewhere classified、Sociology、Biological Sciences not elsewhere classified、Cancer。主题标签:g ., retail、1990 &# 8211、unconventional business setting、specific health condition、including cardiovascular health、improved health outcomes、rigorously designed studies、727 unduplicated studies、13 studies );、local healthcare providers。
【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/Cancers_/28271687
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Tsai, Jack; McCann, Nicholas A. (2025). Cancers.. 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:Cancers.
- DOI:10.1371/journal.pone.0317815.t002
- 发布日期:2025-01-24
- 文件数:1 个
- 文件总体积:30.21 KB
- 源站页面:https://plos.figshare.com/articles/dataset/Cancers_/28271687
命令行下载
curl -L -o "Table 2.xls" "https://ndownloader.figshare.com/files/51909911"
文件清单
Table 2.xls(30.21 KB)
文件总体积 30.21 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
Place-based health interventions may help reach underserved populations. This scoping review summarizes the peer-reviewed literature on the type and effects of place-based health interventions in unconventional public-facing business settings (e.g., retail and services). A literature search was conducted in PubMed, Google Scholar, and APA PsycNet for studies from 1990–2023. Inclusion criteria for studies were: conducted in the United States, delivered a health intervention, based on an unconventional business setting, and targeted a specific health condition. An initial search yielded 2,727 unduplicated studies, which was filtered to 42 studies included in this review. These 42 studies were categorized based on health conditions of focus, including cardiovascular health (12 studies); HIV (6 studies); diabetes (5 studies); cancers (13 studies); and all other conditions (14 studies). The most common unconventional public-facing business settings for health interventions included barbershops or beauty salons; interventions included health education, preventative screenings, pharmacy services, and connections to local healthcare providers and resources. Notably, 34 (81%) of the studies targeted Black populations. Studies reported positive responses from participants for place-based interventions, increased awareness and screening of health conditions, more referrals to healthcare services, and improved health outcomes. While there have been 9 randomized trials conducted across various health conditions, these trials are limited to focus on a few select settings and lack of objective health outcome measures. These findings highlight the need for more rigorously designed studies in diverse settings that can effectively evaluate the impact of place-based health interventions. The existing literature suggests health interventions delivered in public-facing business settings may be a promising strategy to reach underserved populations.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.1371/journal.pone.0317815.t002(source: https://plos.figshare.com/articles/dataset/Cancers_/28271687)。
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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