乳腺癌患者社会人口学特征数据集

乳腺癌患者社会人口学特征数据集,包含半结构化访谈数据,用于研究诊断影响和COVID-19疫情障碍。

Figshare
2023-04-27 更新
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表格juiz de forahighest mortality rateshealthcare team ablehealthcare professionals knowhealthcare professionals integratedoffer full assistancestigmatized disease amiddisease may favorxlink "> basedwomen &# 8217negative feelings ariseimportant supporting network
Social-demographic characteristics.

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
2023-04-27
版本
v1

资源简介

乳腺癌患者社会人口学特征数据集

【数据集背景】

本数据集源站标题为《Social-demographic characteristics.》。源站首次发布:2023-04-27。

【数据内容】

源站原始描述:Background Breast cancer is considered a health problem at a worldwide level. In Brazil, the South and Southeast regions have the highest mortality rates. Understanding how they dealt with the diagnostic of a stigmatized disease amid the COVID-19 pandemic and its potential repercussions, may enable healthcare professionals to of life. Thus, this study is aimed at understanding the perception of women about the discovery of breast cancer and the impact of the disease on their lives. Methods A qua…

【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.pone.0282610.t001。

【主题与分类】

源站学科分类:Medicine、Molecular Biology、Biological Sciences not elsewhere classified、Cancer、Science Policy、Infectious Diseases。主题标签:juiz de fora、highest mortality rates、healthcare team able、healthcare professionals know、healthcare professionals integrated、offer full assistance、stigmatized disease amid、disease may favor、xlink "> based、women &# 8217。

【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/Social-demographic_characteristics_/22711392

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

规范引用:Carvalho, Simone Meira; de Abrahão Andrade, Camilla; Ferreira, Mariana Barbosa Leite Sérgio; de Souza, Karine Soriana Silva; dos Santos Grincenkov, Fabiane Rossi (2023). Social-demographic characteristics.. PLOS ONE. Dataset

【使用注意】

· 源站最后修改于 2023-06-06,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。

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/40337988"

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

Background
Breast cancer is considered a health problem at a worldwide level. In Brazil, the South and Southeast regions have the highest mortality rates. Understanding how they dealt with the diagnostic of a stigmatized disease amid the COVID-19 pandemic and its potential repercussions, may enable healthcare professionals to of life. Thus, this study is aimed at understanding the perception of women about the discovery of breast cancer and the impact of the disease on their lives.
Methods
A qualitative study, with the participation of forty women with breast cancer, under chemotherapy treatment. It was performed in a hospital specialized in oncology, in Juiz de Fora, Brazil, in 2020 and 2021. Data collection was carried out with semi-structured interviews, which were analyzed with Bardin Content Analysis.
Results
Based on the central theme “Discovery of the disease”, these categories were developed: “Discovery” and “Impact of the disease”. A large part of women noticed a change in the breast, even before routine checks. Upon the impact of cancer diagnosis, negative feelings arise, then going through a process of acceptance and coping. Some barriers were faced due to the COVID-19 pandemic, which caused delays in the diagnostic and impact caused by social isolation. Family, friends, and healthcare professionals integrated an important supporting network in order to help coping with the disease.
Conclusion
The consequences of a breast cancer diagnosis can be devastating. It is necessary that healthcare professionals know and embrace the feelings, beliefs, and values as a part of the aspects related to health. Valuing the supporting network of women suffering from the disease may favor the process of accepting and coping with the neoplasm. The COVID-19 pandemic is highlighted as an obstacle to be overcome specially when it comes to diagnostic assistance and availability of a support network. In that sense, it is worth mentioning the importance of a healthcare team able to offer full assistance, with quality. The need of further studies to determine the impact of the pandemic in the long run.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0282610.t001(source: https://plos.figshare.com/articles/dataset/Social-demographic_characteristics_/22711392)。

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。