影响癌症幸存者护理计划交付的因素:一项全国性护理模式研究

基于46408份癌症幸存者护理计划,运用机器学习分析影响护理计划交付的因素,包括癌症类型、医生类型及地区差异。

NIAID Data Ecosystem
浏览 5
表格survivorshipsurvivorship care planscancerhealth disparitiescancer survivor
Factors Influencing Delivery of Cancer Survivorship Care Plans: A National Patterns of Care Study

基本信息

模态
表格
大小
0.000011085 GB
许可
CC BY 4.0
创建/更新时间
2026-10-09
版本
v1

资源简介

影响癌症幸存者护理计划交付的因素:一项全国性护理模式研究

【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 11.09 KB,主题涵盖 survivorship、survivorship care plans、cancer、health disparities、cancer survivor,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《Table_1_Factors Influencing Delivery of Cancer Survivorship Care Plans: A National Patterns of Care Study.xlsx》。配套论文《Factors influencing implementation of a survivorship care plan—a quantitative process evaluation of the ROGY Care trial》发表于 Journal of Cancer Survivorship(2016),DOI:10.1007/s11764-016-0562-3。源站首次发布:2020-01-31。

【数据内容】

源站原始描述:Nearly half of all Americans will develop cancer at least once in their lifetime. Through improved screening and treatments, the number of cancer survivors is reaching all-time highs. However, survivorship care plans (SCPs) are inconsistently used, denying many survivors access to critical information. This study used 46,408 SCPs generated from 2007 to 2016 and applied machine learning to identify predictors of SCP creation, including cancer type, type of physician, and healthcare center where t…

【数据结构与技术规格】

文件数 1 个,合计 11.09 KB。Table_1_Factors Influencing Delivery of Cancer Survivorship Care Plans: A National Patterns of Care Study.xlsx:application/vnd.openxmlformats-officedocument.spreadsheetml.sheet,11.09 KB。数据集 DOI:10.3389/fonc.2019.01577.s001。

【主题与分类】

源站学科分类:Cancer、Haematological Tumours、Radiation Therapy、Solid Tumours、Oncology and Carcinogenesis not elsewhere classified、Molecular Targets。主题标签:survivorship、survivorship care plans、cancer、health disparities、cancer survivor。

【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://frontiersin.figshare.com/articles/dataset/Table_1_Factors_Influencing_Delivery_of_Cancer_Survivorship_Care_Plans_A_National_Patterns_of_Care_Study_xlsx/11775303

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

规范引用:Benci, Joseph L.; Vachani, Carolyn C.; Hampshire, Margaret K.; Bach, Christina; Arnold-Korzeniowski, Karen; Metz, James M.; et al. (2020). Table_1_Factors Influencing Delivery of Cancer Survivorship Care Plans: A National Patterns of Care Study.xlsx. Frontiers. Dataset

【使用注意】

· 源站最后修改于 2023-05-31,引用时请注意版本时效。

官方服务

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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。

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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)

命令行下载

curl -L -o "Table_1_Factors Influencing Delivery of Cancer Survivorship Care Plans: A National Patterns of Care Study.xlsx" "https://ndownloader.figshare.com/files/21490245"

文件清单

  • Table_1_Factors Influencing Delivery of Cancer Survivorship Care Plans: A National Patterns of Care Study.xlsx(11.09 KB)

文件总体积 11.09 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

Nearly half of all Americans will develop cancer at least once in their lifetime. Through improved screening and treatments, the number of cancer survivors is reaching all-time highs. However, survivorship care plans (SCPs) are inconsistently used, denying many survivors access to critical information. This study used 46,408 SCPs generated from 2007 to 2016 and applied machine learning to identify predictors of SCP creation, including cancer type, type of physician, and healthcare center where they received care, as well as regional variations in care plan creation. Identifying these disparities in SCP use is a critical first step in efforts toward expanding access to survivorship care planning. Using a convenience sample of survivors, it is possible to model the factors that predict generation of SCPs either by the survivor or by a healthcare provider. This study identifies several important disparities both survivor intrinsic such as cancer type, as well as treatment associated and geographic differences in SCP generation. Identifying these disparities at the national level across cancer types will allow for more targeted recommendations to improve SCP creation and dissemination in underserved groups.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fonc.2019.01577.s001(source: https://frontiersin.figshare.com/articles/dataset/Table_1_Factors_Influencing_Delivery_of_Cancer_Survivorship_Care_Plans_A_National_Patterns_of_Care_Study_xlsx/11775303)。

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