COVID-19大流行期间远程医疗解决方案的范围综述表格
包含COVID-19大流行期间远程医疗解决方案范围综述的表格数据,涉及功能、技术和效果。

基本信息
资源简介
COVID-19大流行期间远程医疗解决方案的范围综述表格
【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 230.75 KB,主题涵盖 telemedicine、information technology、setting、outcomes、function,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《Table_2_Telemedicine solutions for clinical care delivery during COVID-19 pandemic: A scoping review.pdf》。配套论文《Telemedicine and e-Health research solutions in literature for combatting COVID-19: a systematic review》发表于 Health and Technology(2021),DOI:10.1007/s12553-021-00529-7。源站首次发布:2022-07-22。
【数据内容】
源站原始描述:Background:The unexpected emergence of coronavirus disease 2019 (COVID-19) has changed mindsets about the healthcare system and medical practice in many fields, forcing physicians to reconsider their approaches to healthcare provision. It is necessary to add new, unique, and efficient solutions to traditional methods to overcome this critical challenge. In this regard, telemedicine offers a solution to this problem. Remote medical activities could diminish unnecessary visits and provide prompt m…
【数据结构与技术规格】
文件数 1 个,合计 230.75 KB。Table_2_Telemedicine solutions for clinical care delivery during COVID-19 pandemic: A scoping review.pdf:application/pdf,230.75 KB。数据集 DOI:10.3389/fpubh.2022.937207.s002。
【主题与分类】
源站学科分类:Aboriginal and Torres Strait Islander Health、Aged Health Care、Care for Disabled、Community Child Health、Environmental and Occupational Health and Safety、Epidemiology。主题标签:telemedicine、information technology、setting、outcomes、function、context、COVID-19。
【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://frontiersin.figshare.com/articles/dataset/Table_2_Telemedicine_solutions_for_clinical_care_delivery_during_COVID-19_pandemic_A_scoping_review_pdf/20357148
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Ganjali, Raheleh; Jajroudi, Mahdie; Kheirdoust, Azam; Darroudi, Ali; Alnattah, Ashraf (2022). Table_2_Telemedicine solutions for clinical care delivery during COVID-19 pandemic: A scoping review.pdf. Frontiers. Dataset
【使用注意】
· 源站最后修改于 2023-06-02,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:Table_2_Telemedicine solutions for clinical care delivery during COVID-19 pandemic: A scoping review.pdf
- DOI:10.3389/fpubh.2022.937207.s002
- 发布日期:2022-07-22
- 文件数:1 个
- 文件总体积:230.75 KB
- 源站页面:https://frontiersin.figshare.com/articles/dataset/Table_2_Telemedicine_solutions_for_clinical_care_delivery_during_COVID-19_pandemic_A_scoping_review_pdf/20357148
命令行下载
curl -L -o "Table_2_Telemedicine solutions for clinical care delivery during COVID-19 pandemic: A scoping review.pdf" "https://ndownloader.figshare.com/files/36387240"
文件清单
Table_2_Telemedicine solutions for clinical care delivery during COVID-19 pandemic: A scoping review.pdf(230.75 KB)
文件总体积 230.75 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:The unexpected emergence of coronavirus disease 2019 (COVID-19) has changed mindsets about the healthcare system and medical practice in many fields, forcing physicians to reconsider their approaches to healthcare provision. It is necessary to add new, unique, and efficient solutions to traditional methods to overcome this critical challenge. In this regard, telemedicine offers a solution to this problem. Remote medical activities could diminish unnecessary visits and provide prompt medical services in a timely manner.
ObjectiveThis scoping review aimed to provide a map of the existing evidence on the use of telemedicine during the COVID-19 pandemic by focusing on delineation functions and technologies, analyzing settings, and identifying related outcomes.
MethodsThis review was conducted following the Arksey and O’'Malley framework and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR) checklist. PubMed and Scopus databases were systematically searched based on specific eligibility criteria. The English publications included in this study focused on telemedicine systems implemented during the COVID-19 pandemic to provide clinical care services. Two independent reviewers screened the articles based on predefined inclusion and exclusion criteria. The relevant features of telemedicine systems were summarized and presented into the following four domains and their subcategories, including functionality, technology, context, and outcomes.
ResultsOut of a total of 1,602 retrieved papers, 66 studies met the inclusion criteria. The most common function implemented was counseling, and telemedicine was used for diagnosis in seven studies. In addition, in 12 studies, tele-monitoring of patients was performed by phone, designed platforms, social media, Bluetooth, and video calls. Telemedicine systems were predominantly implemented synchronously (50 studies). Moreover, 10 studies used both synchronous and asynchronous technologies. Although most studies were performed in outpatient clinics or centers, three studies implemented a system for hospitalized patients, and four studies applied telemedicine fo
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.3389/fpubh.2022.937207.s002(source: https://frontiersin.figshare.com/articles/dataset/Table_2_Telemedicine_solutions_for_clinical_care_delivery_during_COVID-19_pandemic_A_scoping_review_pdf/20357148)。
数据缺失?
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