原型特征
与将 PROMIS-UE 改编为多媒体版 mPROMIS-UE 相关的原型特征数据集,面向不同读写能力的上肢患者,包含音频、动画、图标等原型元素。

基本信息
资源简介
原型特征
【一句话概览】
本数据集是 figshare 公开的多模态数据集,收录 1 个文件、合计 13.82 KB,主题涵盖 investigators &# 8217、include back adaptation、impedes accurate completion、illustrated response scale、community advisory board,可用于跨模态对齐与融合建模研究,CC BY 4.0 许可开放获取。
【数据集背景】
本数据集源站标题为《Prototype features.》。源站首次发布:2024-06-05。
【数据内容】
源站原始描述:Introduction Almost all patient-reported outcomes measures (PROMs) are text-based, which impedes accurate completion by low and limited literacy patients. Few PROMs are designed or validated to be self-administered, either in clinical or research settings, by patients of all literacy levels. We aimed to adapt the Patient Reported Outcomes Measurement Information System Upper Extremity Short Form (PROMIS-UE) to a multimedia version (mPROMIS-UE) that can be self-administered by hand and upper extr…
【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.0304351.t004。
【主题与分类】
源站学科分类:Space Science、Medicine、Biotechnology、Biological Sciences not elsewhere classified、Science Policy。主题标签:investigators &# 8217、include back adaptation、impedes accurate completion、illustrated response scale、community advisory board、conducted 12 hours、upper extremity patients、multidisciplinary research team、reported outcomes measures、reported outcomes measure。
【适用方向】
多模态数据适合跨模态对齐、融合建模与联合表征学习方向的研究。
【获取与许可】
源站页面:https://plos.figshare.com/articles/dataset/Prototype_features_/25978656
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Azad, Chao Long; Beres, Laura K.; Wu, Albert W.; Fong, Allan; Giladi, Aviram M. (2024). Prototype features.. PLOS ONE. Dataset
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:Prototype features.
- DOI:10.1371/journal.pone.0304351.t004
- 发布日期:2024-06-05
- 文件数:1 个
- 文件总体积:13.82 KB
- 源站页面:https://plos.figshare.com/articles/dataset/Prototype_features_/25978656
命令行下载
curl -L -o "Table 4.xls" "https://ndownloader.figshare.com/files/46847193"
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
Introduction
Almost all patient-reported outcomes measures (PROMs) are text-based, which impedes accurate completion by low and limited literacy patients. Few PROMs are designed or validated to be self-administered, either in clinical or research settings, by patients of all literacy levels. We aimed to adapt the Patient Reported Outcomes Measurement Information System Upper Extremity Short Form (PROMIS-UE) to a multimedia version (mPROMIS-UE) that can be self-administered by hand and upper extremity patients of all literacy levels.
Methods
Our study in which we applied the Multimedia Adaptation Protocol included seven phases completed in a serial, iterative fashion: planning with our community advisory board; direct observation; discovery interviews with patients, caregivers, and clinic staff; ideation; prototyping; member-checking interviews; and feedback. Direct observations were documented in memos that underwent rapid thematic analysis. Interviews were audio-recorded and documented using analytic memos; a rapid, framework-guided thematic analysis with both inductive and deductive themes was performed. Themes were distilled into design challenges to guide ideation and prototyping that involved our multidisciplinary research team. To assess completeness, credibility, and acceptability we completed additional interviews with member-checking of initial findings and consulted our community advisory board.
Results
We conducted 12 hours of observations. We interviewed 17 adult English-speaking participants (12 patients, 3 caregivers, 2 staff) of mixed literacy. Our interviews revealed two distinct user personas and three distinct literacy personas; we developed the mPROMIS-UE with these personas in mind. Themes from interviews were distilled into four broad design challenges surrounding literacy, customizability, convenience, and shame. We identified features (audio, animations, icons, avatars, progress indicator, illustrated response scale) that addressed the design challenges. The last 6 interviews included member-checking; participants felt that the themes, design challenges, and corresponding features resonated with them. These features were synthesized into a
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.1371/journal.pone.0304351.t004(source: https://plos.figshare.com/articles/dataset/Prototype_features_/25978656)。
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。
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