妇科手术与COVID-19:影响与管理
关于COVID-19大流行期间妇科手术影响及管理建议的论文数据集。

基本信息
资源简介
妇科手术与COVID-19:影响与管理
【一句话概览】
本数据集是 figshare 公开的文本数据集,收录 1 个文件、合计 5.63 KB,主题涵盖 COVID-19、laparoscopy、hysteroscopy、gynecological surgery,可用于医学自然语言处理(实体识别、信息抽取等),CC BY 4.0 许可开放获取。
【数据集背景】
本数据集源站标题为《Gynecological Surgery and COVID-19: What is the Impact and How Should I Manage it?》。配套论文《Gynecological Surgery and COVID-19: What is the Impact and How Should I Manage it?》发表于 Revista Brasileira de Ginecologia e Obstetrícia / RBGO Gynecology and Obstetrics(2020),DOI:10.1055/s-0040-1715146。源站首次发布:2021-03-26。
【数据内容】
源站原始描述:Abstract It is estimated that around 28 million surgeries will be postponed or canceled worldwide as a result of this pandemic, causing a delay in the diagnosis and treatment of more than 2 million cancer cases. In Brazil, both the National Health Agency (ANS) and National Health Surveillance Agency (ANVISA) advised the postponement of elective and non-essential surgeries, causing a considerable impact on the number of surgical procedures that decreased by 33.4% in this period. However, some wom…
中文译文(机器翻译,仅供快速理解,请以原文为准):摘要 据估计,由于此次大流行,全球约有2800万例手术将被推迟或取消,导致200多万例癌症病例的诊断和治疗延迟。在巴西,国家卫生局(ANS)和国家卫生监督局(ANVISA)均建议推迟择期和非必需手术,这对手术数量造成了相当大的影响,在此期间手术量下降了33.4%。然而,一些女性需要治疗多种不能推迟的妇科疾病。本文旨在提出COVID-19大流行期间手术治疗的建议。
【数据结构与技术规格】
文件数 1 个,合计 5.63 KB。数据集 DOI:10.6084/m9.figshare.14317148.v1。
【主题与分类】
源站学科分类:Obstetrics and Gynaecology。主题标签:COVID-19、laparoscopy、hysteroscopy、gynecological surgery。
【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://scielo.figshare.com/articles/dataset/Gynecological_Surgery_and_COVID-19_What_is_the_Impact_and_How_Should_I_Manage_it_/14317148
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Rosa-e-Silva, Julio Cesar; Ribeiro, Paulo Ayroza; Brito, Luiz Gustavo Oliveira; Gomes, Mariano Tamura Vieira; Podgaec, Sergio; Ribeiro, Helizabet Salomão Abdalla Ayroza; et al. (2020). Gynecological Surgery and COVID-19: What is the Impact and How Should I Manage it?. SciELO journals. Dataset
【使用注意】
· 源站最后修改于 2023-05-30,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:Gynecological Surgery and COVID-19: What is the Impact and How Should I Manage it?
- DOI:10.6084/m9.figshare.14317148.v1
- 发布日期:2021-03-26
- 文件数:1 个
- 文件总体积:5.63 KB
- 源站页面:https://scielo.figshare.com/articles/dataset/Gynecological_Surgery_and_COVID-19_What_is_the_Impact_and_How_Should_I_Manage_it_/14317148
命令行下载
curl -L -o "Table_1.xls" "https://ndownloader.figshare.com/files/27254090"
文件清单
Table_1.xls(5.63 KB)
文件总体积 5.63 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
Abstract It is estimated that around 28 million surgeries will be postponed or canceled worldwide as a result of this pandemic, causing a delay in the diagnosis and treatment of more than 2 million cancer cases. In Brazil, both the National Health Agency (ANS) and National Health Surveillance Agency (ANVISA) advised the postponement of elective and non-essential surgeries, causing a considerable impact on the number of surgical procedures that decreased by 33.4% in this period. However, some women need treatment for various gynecological diseases that cannot be postponed. The purpose of this article is to present recommendations on surgical treatment during the COVID-19 pandemic.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.6084/m9.figshare.14317148.v1(source: https://scielo.figshare.com/articles/dataset/Gynecological_Surgery_and_COVID-19_What_is_the_Impact_and_How_Should_I_Manage_it_/14317148)。
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。




