自由文本评论示例选择

包含VA丙肝管理仪表板用户自由文本评论示例的数据集,用于评估用户使用体验。

Figshare
2023-05-02 更新
浏览 19
文本veterans health administrationunstably housed veteranssystem usability scorepopulation health expertsmet provider needs73 &# 1771945 &# 821171 %)followedmean sus scoreinclude reports basedfollowing utaut2 rateduser experience measures
Illustrative selection of free text comments

基本信息

模态
文本
大小
0.000013824 GB
许可
CC BY 4.0
创建/更新时间
2023-05-02
版本
v1

资源简介

自由文本评论示例选择

【数据集背景】

本数据集源站标题为《Illustrative selection of free text comments.》。源站首次发布:2023-05-02。

【数据内容】

源站原始描述:Background The Veterans Health Administration (VA) is the largest integrated healthcare organization in the US and cares for the largest cohort of individuals with hepatitis C (HCV). A national HCV population management dashboard enabled rapid identification and treatment uptake with direct acting antiviral agents across VA hospitals. We describe the HCV dashboard (HCVDB) and evaluate its use and user experience. Methods A user-centered design approach created the HCVDB to include reports based…

【数据结构与技术规格】

文件数 1 个,合计 13.82 KB。Table 4.xls:application/vnd.ms-excel,13.82 KB。数据集 DOI:10.1371/journal.pone.0285044.t004。

【主题与分类】

源站学科分类:Biotechnology、Evolutionary Biology、Cancer、Infectious Diseases、Virology。主题标签:veterans health administration、unstably housed veterans、system usability score、population health experts、met provider needs、73 &# 177、1945 &# 8211、71 %), followed、mean sus score、include reports based。

【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://plos.figshare.com/articles/dataset/Illustrative_selection_of_free_text_comments_/22733756

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

规范引用:Yakovchenko, Vera; Jacob, David A.; Rogal, Shari S.; Morgan, Timothy R.; Rozenberg-Ben-Dror, Karine (2023). Illustrative selection of free text comments.. PLOS ONE. 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。

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 "Table 4.xls" "https://ndownloader.figshare.com/files/40391138"

文件清单

  • Table 4.xls(13.82 KB)

文件总体积 13.82 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 Veterans Health Administration (VA) is the largest integrated healthcare organization in the US and cares for the largest cohort of individuals with hepatitis C (HCV). A national HCV population management dashboard enabled rapid identification and treatment uptake with direct acting antiviral agents across VA hospitals. We describe the HCV dashboard (HCVDB) and evaluate its use and user experience.
Methods
A user-centered design approach created the HCVDB to include reports based on the HCV care continuum: 1) 1945–1965 birth cohort high-risk screening, 2) linkage to care and treatment of chronic HCV, 3) treatment monitoring, 4) post-treatment to confirm cure (i.e., sustained virologic response), and 5) special populations of unstably housed Veterans. We evaluated frequency of usage and user experience with the System Usability Score (SUS) and Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) instruments.
Results
Between November 2016 and July 2021, 1302 unique users accessed the HCVDB a total of 163,836 times. The linkage report was used most frequently (71%), followed by screening (13%), sustained virologic response (11%), on-treatment (4%), and special populations (Conclusions
The HCVDB had rapid and widespread uptake, met provider needs, and scored highly on user experience measures. Collaboration between clinicians, clinical informatics, and population health experts was essential for dashboard design and sustained use. Population health management tools have the potential for large-scale impacts on care timeliness and efficiency.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0285044.t004(source: https://plos.figshare.com/articles/dataset/Illustrative_selection_of_free_text_comments_/22733756)。

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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