表1_通过基于规则的自然语言处理连接创新治疗与糖皮质激素使用及多学科评估：类风湿关节炎、银屑病关节炎和银屑病患者的真实世界研究

数据集获取（Figshare）

• 源站标题：Table_1_Connecting the use of innovative treatments and glucocorticoids with the multidisciplinary evaluation through rule-based natural-language processing: a real-world study on patients with rheumatoid arthritis, psoriatic arthritis, and psoriasis.docx
• DOI：10.3389/fmed.2023.1179240.s001
• 发布日期：2023-06-14
• 文件数：1 个
• 文件总体积：17.40 KB
• 源站页面：https://frontiersin.figshare.com/articles/dataset/Table_1_Connecting_the_use_of_innovative_treatments_and_glucocorticoids_with_the_multidisciplinary_evaluation_through_rule-based_natural-language_processing_a_real-world_study_on_patients_with_rheumatoid_arthritis_psoriatic_arthritis_and_ps/23513427

命令行下载

curl -L -o "Table_1_Connecting the use of innovative treatments and glucocorticoids with the multidisciplinary evaluation through rule-based natural-language proc.docx" "https://ndownloader.figshare.com/files/41236251"

文件清单

• Table_1_Connecting the use of innovative treatments and glucocorticoids with the multidisciplinary evaluation through rule-based natural-language proc.docx（17.40 KB）

文件总体积 17.40 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

BackgroundThe impact of a multidisciplinary management of rheumatoid arthritis (RA), psoriatic arthritis (PsA), and psoriasis on systemic glucocorticoids or innovative treatments remains unknown. Rule-based natural language processing and text extraction help to manage large datasets of unstructured information and provide insights into the profile of treatment choices.
MethodsWe obtained structured information from text data of outpatient visits between 2017 and 2022 using regular expressions (RegEx) to define elastic search patterns and to consider only affirmative citation of diseases or prescribed therapy by detecting negations. Care processes were described by binary flags which express the presence of RA, PsA and psoriasis and the prescription of glucocorticoids and biologics or small molecules in each cases. Logistic regression analyses were used to train the classifier to predict outcomes using the number of visits and the other specialist visits as the main variables.
ResultsWe identified 1743 patients with RA, 1359 with PsA and 2,287 with psoriasis, accounting for 5,677, 4,468 and 7,770 outpatient visits, respectively. Among these, 25% of RA, 32% of PsA and 25% of psoriasis cases received biologics or small molecules, while 49% of RA, 28% of PsA, and 40% of psoriasis cases received glucocorticoids. Patients evaluated also by other specialists were treated more frequently with glucocorticoids (70% vs. 49% for RA, 60% vs. 28% for PsA, 51% vs. 40% for psoriasis; p Patients with RA, PsA, or psoriasis undergoing multiple evaluations are more likely to receive innovative treatments or glucocorticoids, possibly reflecting more complex cases.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fmed.2023.1179240.s001（source: https://frontiersin.figshare.com/articles/dataset/Table_1_Connecting_the_use_of_innovative_treatments_and_glucocorticoids_with_the_multidisciplinary_evaluation_through_rule-based_natural-language_processing_a_real-world_study_on_patients_with_rheumatoid_arthritis_psoriatic_arthritis_and_ps/23513427）。