量表反应性分析数据集

包含97例贝尔氏麻痹患者三种面神经评分量表(HBGS、SFGS、MPS)治疗前后数据,用于量表反应性和相关性分析。

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Scale reactivity analysis.

基本信息

模态
表格
大小
0.000005632 GB
许可
CC BY 4.0
创建/更新时间
2026-10-09
版本
v1

资源简介

量表反应性分析数据集

【一句话概览】

本数据集是 figshare 公开的结构化表格数据集,收录 1 个文件、合计 5.63 KB,主题涵盖 receiver operating characteristic、modified portmann scale、brackmann grading scale、bell &# 8217、910 &# 8211,可用于统计建模、特征工程与队列分析,CC BY 4.0 许可开放获取。

【数据集背景】

本数据集源站标题为《Scale reactivity analysis.》。源站首次发布:2025-06-25。

【数据内容】

源站原始描述:Background Studies have shown that approximately 30% of patients with Bell’s palsy may experience permanent disfigurement due to muscle weakness affecting facial expressions. The prognosis for Bell’s palsy is often correlated with the degree of impairment in facial nerve function observed in the early stages of the condition. Selecting appropriate assessment tools is essential for the effective treatment and prognosis of patients with Bell’s palsy. Objective Examine and compare three scales used…

【数据结构与技术规格】

文件数 1 个,合计 5.63 KB。Table 1.xls:application/vnd.ms-excel,5.63 KB。数据集 DOI:10.1371/journal.pone.0326789.t001。

【主题与分类】

源站学科分类:Cell Biology、Genetics、Molecular Biology、Neuroscience、Biotechnology、Evolutionary Biology。主题标签:receiver operating characteristic、modified portmann scale、brackmann grading scale、bell &# 8217、910 &# 8211、883 &# 8211、authors &# 8217、three evaluation methods、performed correlation analyses、clinically classified using。

【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/Scale_reactivity_analysis_/29405633

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

规范引用:Lin, Zhanxiang; Fei, Xiaoyang; Huang, Lichao; Shao, Yuchun; Liu, Zicai (2025). Scale reactivity analysis.. PLOS ONE. Dataset

官方服务

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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 1.xls" "https://ndownloader.figshare.com/files/55649480"

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

Background
Studies have shown that approximately 30% of patients with Bell’s palsy may experience permanent disfigurement due to muscle weakness affecting facial expressions. The prognosis for Bell’s palsy is often correlated with the degree of impairment in facial nerve function observed in the early stages of the condition. Selecting appropriate assessment tools is essential for the effective treatment and prognosis of patients with Bell’s palsy.
Objective
Examine and compare three scales used to measure Bell’s palsy: the House-Brackmann Grading Scale (HBGS), the Sunnybrook Facial Grading System (SFGS), and the Modified Portmann Scale (MPS).
Methods
A retrospective study involved 97 patients with Bell’s palsy treated at the authors’ institution from 2021 to 2022. The authors accessed these data for research purposes in February 2025. The patient cohort underwent HBGS, SFGS, and MPS to assess facial nerve function before and after treatment. We compared the results of these three evaluation methods. Additionally, we performed correlation analyses and receiver operating characteristic (ROC) analyses of the post-treatment data to examine the relationships between HBGS and SFGS and between HBGS and MPS, using the internationally recognized and most widely utilized HBGS as the standard.
Results
The HBGS demonstrated moderate consistency with both the FSGS and MPS, revealing significant negative correlations (r = −0.876, P Conclusion
HBGS, SFGS, and MPS are all appropriate tools for assessing Bell’s palsy. The severity of facial nerve palsy can be clinically classified using a transect score of 68 on the SFGS and 16 on the MPS. However, the results should be interpreted with caution, as objective indicators were not utilized as criteria.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0326789.t001(source: https://plos.figshare.com/articles/dataset/Scale_reactivity_analysis_/29405633)。

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