高收入国家癌症患者诊断与治疗间隔汇总中位数数据集

包含高收入国家癌症患者诊断与治疗间隔的汇总中位数数据,基于癌症准备指数分析。

Figshare
2022-10-20 更新
浏览 24
表格g .prostateg .myelomasg .cervicalconsidered core indicators77 ]e67 ]e66 ]e54 ]e4 times longer108 ]) cancersprimary symptomatic cancer85 ]e
Pooled medians for the patient, diagnostic, and treatment intervals from studies conducted in high-income countries as a function of the Index of Cancer Preparedness on Policy and Planning (ICP PP).

基本信息

模态
表格
大小
0.000015214 GB
许可
CC BY 4.0
创建/更新时间
2022-10-20
版本
v1

资源简介

高收入国家癌症患者诊断与治疗间隔汇总中位数数据集

【数据集背景】

本数据集源站标题为《Pooled medians for the patient, diagnostic, and treatment intervals from studies conducted in high-income countries as a function of the Index of Cancer Preparedness on Policy and Planning (ICP PP).》。配套论文《The patient, diagnostic, and treatment intervals in adult patients with cancer from high- and lower-income countries: A systematic review and meta-analysis》发表于 PLOS Medicine(2022),DOI:10.1371/journal.pmed.1004110。源站首次发布:2022-10-20。

【数据内容】

源站原始描述:Note: k = number of studies/estimates; N = number of patients; med = pooled median; LLCI and ULCI = lower level and upper level confidence interval, respectively; Breast cancer excludes pregnancy-associated breast cancer; R2 = percentage of variance in the outcome explained by the moderator in a moderator test from a random-effects model. When k = 1, the median from the single located study is reported. The high vs. lower IPC PP groups were created based on k-means clustering (“natural” grouping…

【数据结构与技术规格】

文件数 1 个,合计 15.21 KB。pmed.1004110.s007.xlsx:application/vnd.openxmlformats-officedocument.spreadsheetml.sheet,15.21 KB。数据集 DOI:10.1371/journal.pmed.1004110.s007。

【主题与分类】

源站学科分类:Medicine、Biotechnology、Cancer、Mental Health、Infectious Diseases、Virology。主题标签:g ., prostate、g ., myelomas、g ., cervical、considered core indicators、77 ], e、67 ], e、66 ], e、54 ], e、4 times longer、108 ]) cancers。

【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/Pooled_medians_for_the_patient_diagnostic_and_treatment_intervals_from_studies_conducted_in_high-income_countries_as_a_function_of_the_Index_of_Cancer_Preparedness_on_Policy_and_Planning_ICP_PP_/21372064

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

规范引用:Petrova, Dafina; Špacírová, Zuzana; Fernández-Martínez, Nicolás Francisco; Ching-López, Ana; Garrido, Dunia; Rodríguez-Barranco, Miguel; et al. (2022). Pooled medians for the patient, diagnostic, and treatment intervals from studies conducted in high-income countries as a function of the Index of Ca…

【使用注意】

· 源站最后修改于 2023-06-13,引用时请注意版本时效。

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。

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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 "pmed.1004110.s007.xlsx" "https://ndownloader.figshare.com/files/37928266"

文件清单

  • pmed.1004110.s007.xlsx(15.21 KB)

文件总体积 15.21 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

Note: k = number of studies/estimates; N = number of patients; med = pooled median; LLCI and ULCI = lower level and upper level confidence interval, respectively; Breast cancer excludes pregnancy-associated breast cancer; R2 = percentage of variance in the outcome explained by the moderator in a moderator test from a random-effects model. When k = 1, the median from the single located study is reported. The high vs. lower IPC PP groups were created based on k-means clustering (“natural” grouping of the data).
(XLSX)

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pmed.1004110.s007(source: https://plos.figshare.com/articles/dataset/Pooled_medians_for_the_patient_diagnostic_and_treatment_intervals_from_studies_conducted_in_high-income_countries_as_a_function_of_the_Index_of_Cancer_Preparedness_on_Policy_and_Planning_ICP_PP_/21372064)。

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。

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