类风湿关节炎Reddit讨论数据集（预处理后统计）

数据集获取（Figshare）

• 源站标题：<p>Dataset statistics after pre-processing.</p>
• DOI：10.1371/journal.pone.0341006.t001
• 发布日期：2026-01-21
• 文件数：1 个
• 文件总体积：5.63 KB
• 源站页面：https://plos.figshare.com/articles/dataset/_p_Dataset_statistics_after_pre-processing_p_/31106970

命令行下载

curl -L -o "Table 1.xls" "https://ndownloader.figshare.com/files/61166493"

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

Rheumatoid arthritis (RA) is a chronic autoimmune condition characterized by joint pain, fatigue, and reduced quality of life. Although pharmacological interventions, such as non-steroidal anti-inflammatory drugs (NSAIDs) and disease-modifying antirheumatic drugs (DMARDs), address physical symptoms, the psychological and emotional challenges associated with RA are frequently neglected. Social media platforms, particularly Reddit, have emerged as significant venue for patients to share experiences and seek support, a trend that has intensified during the COVID-19 pandemic. This study examined six years (2018–2024) of discussions from the r/rheumatoid and r/rheumatoidarthritis subreddits, encompassing 22,537 posts and 276,209 comments. Natural language processing (NLP) techniques were implemented to analyze sentiment, emotions, discussion topics, drug mentions, and hyperlink-sharing patterns across three phases: pre-COVID, during COVID, and post-COVID. The analysis indicated that comments were predominantly positive, whereas posts exhibited increased negativity following the onset of COVID-19. Fear and sadness were prevalent in posts, while comments frequently conveyed joy, underscoring the community’s supportive nature. Topic modeling identified recurring discussions concerning treatment efficacy, mental health, and pandemic-related disruptions. Methotrexate emerged as the most frequently mentioned medication, with notable emotional variation during the pandemic. Hyperlink patterns suggested an increasing reliance on medical and academic sources, reflecting patients’ need for reliable information. These findings illustrate how online communities capture evolving patient experiences and unmet needs. Insights from such discussions can inform healthcare providers, policymakers, and public health communicators in developing patient-centered strategies that address both the emotional and informational dimensions of RA care.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0341006.t001（source: https://plos.figshare.com/articles/dataset/_p_Dataset_statistics_after_pre-processing_p_/31106970）。