多发性硬化症患者免疫调节治疗依从性因素数据集

数据集获取（Figshare）

• 源站标题：Factors associated with adherence to immunomodulator treatment in people with multiple sclerosis
• DOI：10.6084/m9.figshare.20039138.v1
• 发布日期：2022-06-09
• 文件数：4 个
• 文件总体积：49.60 KB
• 源站页面：https://scielo.figshare.com/articles/dataset/Factors_associated_with_adherence_to_immunomodulator_treatment_in_people_with_multiple_sclerosis/20039138

命令行下载

curl -L -o "5cabf86f446333f1ceb1dde263583add073eeb8c.jpg" "https://ndownloader.figshare.com/files/35805968"
curl -L -o "Table_1.xls" "https://ndownloader.figshare.com/files/35805971"
curl -L -o "Table_2.xls" "https://ndownloader.figshare.com/files/35805974"
curl -L -o "Table_3.xls" "https://ndownloader.figshare.com/files/35805977"

文件清单

• 5cabf86f446333f1ceb1dde263583add073eeb8c.jpg（20.41 KB）
• Table_1.xls（5.63 KB）
• Table_2.xls（9.73 KB）
• Table_3.xls（13.82 KB）

文件总体积 49.60 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

Abstract To determine the association between factors and adherence to immunomodulator treatment in people with multiple sclerosis treated in reference centers. Cross-sectional study conducted with 188 people who used immunomodulators in three reference centers in Ceará from March to July 2012. Adherence was assessed using the Moriskscale and factors were assessed using a questionnaire addressing socioeconomic and personal characteristics, the disease, the use of immunomodulator and educational activities. The determination of the association was expressed in crude and adjusted odds ratio with a 95% confidence interval. Adherence rate was 46% and after the logistic regression model the adherence to immunomodulator treatment was positively associated with the following factors: age 18-38 years, time of diagnosis and treatment between 6 and 24 months, 0-3.5 score in the Expanded Disability Status Scale, perception of treatment benefits, intrinsic and extrinsic motivation, phone contact with the doctor and not missing the return visit. This study is important because it allowed to determine the association between factors and adherence to immunomodulator treatment in multiple sclerosis, contributing to prevention and control actions.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.20039138.v1（source: https://scielo.figshare.com/articles/dataset/Factors_associated_with_adherence_to_immunomodulator_treatment_in_people_with_multiple_sclerosis/20039138）。