泰国门诊患者眩晕症状问卷的开发与验证

开发并验证用于筛查泰国门诊患者眩晕病因的结构化算法问卷,包含41名构建样本和150名验证样本的诊断数据。

SciELO journalsSciELO journals
DataCite Commons
2022-10-18 更新
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表格DizzinessVestibular symptomsQuestionnaires
Development and validation of the dizziness symptoms questionnaire in Thai-outpatients

基本信息

模态
表格
大小
0.001174864 GB
许可
CC BY 4.0
创建/更新时间
2022-10-18
版本
v1

资源简介

泰国门诊患者眩晕症状问卷的开发与验证

【一句话概览】

本数据集是 figshare 公开的结构化表格数据集,收录 6 个文件、合计 1.17 MB,主题涵盖 Dizziness、Vestibular symptoms、Questionnaires,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《Development and validation of the dizziness symptoms questionnaire in Thai-outpatients》。配套论文《Development and validation of the dizziness symptoms questionnaire in Thai-outpatients》发表于 Brazilian Journal of Otorhinolaryngology(2022),DOI:10.1016/j.bjorl.2021.05.007。源站首次发布:2022-10-18。

【数据内容】

源站原始描述:Abstract Introduction “Dizziness” is a common complaint in clinical practice that can occur with anyone. However, since the symptom is caused by a wide range of disorders, a general clinician usually faces some difficulty to detect the cause. Objective This study aimed to formulate and validate a simple instrument that can be used to screen and predict the most likely cause of dizziness in Thai outpatients. Methods This study was divided into two phases. Phase I included 41 patients diagnosed wi…

【数据结构与技术规格】

文件数 6 个,合计 1.17 MB。数据集 DOI:10.6084/m9.figshare.21353318.v1。

【主题与分类】

源站学科分类:Otorhinolaryngology。主题标签:Dizziness、Vestibular symptoms、Questionnaires。

【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://scielo.figshare.com/articles/dataset/Development_and_validation_of_the_dizziness_symptoms_questionnaire_in_Thai-outpatients/21353318

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

规范引用:Suvanich, Ravin; Chatchawan, Uraiwan; Jariengprasert, Chanchai; Yimtae, Kwanchanok; Hunsawong, Torkamol; Emasithi, Alongkot (2022). Development and validation of the dizziness symptoms questionnaire in Thai-outpatients. SciELO journals. Dataset

【使用注意】

· 源站最后修改于 2023-06-01,引用时请注意版本时效。

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 "855675d4a8b974f1575256bd5d46e6e26f0dacaf.tif" "https://ndownloader.figshare.com/files/37899269"
curl -L -o "6c419455fdf5dfa06a09c9870ceb2427cabe1411.png" "https://ndownloader.figshare.com/files/37899272"
curl -L -o "f18f43056d49f2220994c32369156045b5a22f4d.jpg" "https://ndownloader.figshare.com/files/37899275"
curl -L -o "8272fd751efb69fa34a4b69476da24417f32b13d.tif" "https://ndownloader.figshare.com/files/37899278"
curl -L -o "452dff47830a1d7124c5160daa137882f996de1f.png" "https://ndownloader.figshare.com/files/37899281"
curl -L -o "e273a20ebc4ca74c2926b03e4d41586c5fef7d6b.jpg" "https://ndownloader.figshare.com/files/37899284"

文件清单

  • 855675d4a8b974f1575256bd5d46e6e26f0dacaf.tif(277.05 KB)
  • 6c419455fdf5dfa06a09c9870ceb2427cabe1411.png(192.03 KB)
  • f18f43056d49f2220994c32369156045b5a22f4d.jpg(5.35 KB)
  • 8272fd751efb69fa34a4b69476da24417f32b13d.tif(392.86 KB)
  • 452dff47830a1d7124c5160daa137882f996de1f.png(302.20 KB)
  • e273a20ebc4ca74c2926b03e4d41586c5fef7d6b.jpg(5.37 KB)

文件总体积 1.17 MB(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 Introduction “Dizziness” is a common complaint in clinical practice that can occur with anyone. However, since the symptom is caused by a wide range of disorders, a general clinician usually faces some difficulty to detect the cause. Objective This study aimed to formulate and validate a simple instrument that can be used to screen and predict the most likely cause of dizziness in Thai outpatients. Methods This study was divided into two phases. Phase I included 41 patients diagnosed with common causes of dizziness to determine the algorithm and construct the “structural algorithm questionnaire version 1”. In addition, to test and retest its content validity and reliability until the instrument had an acceptable level of both. Phase II of the study pertained to evaluating its accuracy in clinical trials, 150 patients with dizziness had a face-to-face interview while they were waiting for their medical appointment. Results The degree of agreement between the algorithm results and clinical diagnoses was within an acceptable level (κ = 0.69). Therefore, this algorithm was used to construct the structural algorithm questionnaire version 1. The content validity of the structural algorithm questionnaire version 1 evaluated by seven experts. The content validity index values of the questionnaire ranged from 0.71 to 1.0. The Cohen’s kappa coefficient (κ) of intra-rater reliability of the structural algorithm questionnaire version 1 was 0.71. In clinical trials, 150 patients with dizziness had a face-to-face interview while they were waiting for their appointment. The overall agreement between their questionnaire responses and final diagnoses by specialists showed a moderate degree of clinical accuracy (κ = 0.55). Conclusions The structural algorithm questionnaire version 1 had a well-developed design and acceptable quality pertaining to both validity and reliability. It might be used to differentiate the cause of dizziness between vestibular and non-vestibular disorders, especially of outpatients with dizziness symptoms.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.21353318.v1(source: https://scielo.figshare.com/articles/dataset/Development_and_validation_of_the_dizziness_symptoms_questionnaire_in_Thai-outpatients/21353318)。

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