研究中使用的方法
关于偏头痛跨学科数字干预对比常规治疗的研究方法数据集。
基本信息
资源简介
研究中使用的方法
【一句话概览】
本数据集是 figshare 公开的文本数据集，收录 1 个文件、合计 9.73 KB，主题涵盖 migraine &# 8212、expensive neurological disease、digitally sophisticated countries、traditional treatment options、eight treatment groups，可用于医学自然语言处理（实体识别、信息抽取等），CC BY 4.0 许可开放获取。
【数据集背景】
本数据集源站标题为《Methods used in the study.》。源站首次发布：2024-02-29。
【数据内容】
源站原始描述：Migraine is one of the most frequent and expensive neurological disease in the world. Non-pharmacological and digitally administered treatment options have long been used in the treatment of chronic pain and mental illness. Digital solutions increase the patients’ possibilities of receiving evidence-based treatment even when conventional treatment options are limited. The main goal of the study is to assess the efficacy of interdisciplinary digital interventions compared to conventional treatmen…
【数据结构与技术规格】
文件数 1 个，合计 9.73 KB。Table 1.xls：application/vnd.ms-excel，9.73 KB。数据集 DOI：10.1371/journal.pdig.0000295.t001。
【主题与分类】
源站学科分类：Neuroscience、Pharmacology、Cancer、Science Policy、Mental Health、Infectious Diseases。主题标签：migraine &# 8212、expensive neurological disease、digitally sophisticated countries、traditional treatment options、eight treatment groups、based treatment even、performing various tests、digital solutions increase、chronic disease treatment、patients &# 8217。
【适用方向】
文本类数据可用于医学自然语言处理，如命名实体识别、信息抽取与文本分类。
【获取与许可】
源站页面：https://plos.figshare.com/articles/dataset/Methods_used_in_the_study_/25316508
使用许可：CC BY 4.0（https://creativecommons.org/licenses/by/4.0/）。
规范引用：Niiberg-Pikksööt, Triinu; Laas, Kariina; Aluoja, Anu; Braschinsky, Mark (2024). Methods used in the study.. PLOS Digital Health. Dataset
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。
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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。
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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）
- 源站标题：Methods used in the study.
- DOI：10.1371/journal.pdig.0000295.t001
- 发布日期：2024-02-29
- 文件数：1 个
- 文件总体积：9.73 KB
- 源站页面：https://plos.figshare.com/articles/dataset/Methods_used_in_the_study_/25316508
命令行下载
curl -L -o "Table 1.xls" "https://ndownloader.figshare.com/files/44751747"
文件清单
Table 1.xls（9.73 KB）
文件总体积 9.73 KB（源站 API 实测）。
数据说明
Migraine is one of the most frequent and expensive neurological disease in the world. Non-pharmacological and digitally administered treatment options have long been used in the treatment of chronic pain and mental illness. Digital solutions increase the patients’ possibilities of receiving evidence-based treatment even when conventional treatment options are limited. The main goal of the study is to assess the efficacy of interdisciplinary digital interventions compared to conventional treatment. The maximum number of participants in this multi-centre, open-label, prospective, randomized study is 600, divided into eight treatment groups. The participants will take part in either a conventional or a digital intervention, performing various tests and interdisciplinary tasks. The primary outcome is expected to be a reduction in the number of headache days. We also undertake to measure various other headache-related burdens as a secondary outcome. The sample size, digital interventions not conducted via video calls, the lack of human connection, limited intervention program, and the conducting of studies only in digitally sophisticated countries are all significant limitations. However, we believe that digitally mediated treatment options are at least as effective as traditional treatment options while also allowing for a significantly higher patient throughput. The future of chronic disease treatment is remote monitoring and high-quality digitally mediated interventions.The study is approved by the Ethics Committee of the University of Tartu for Human Research (Permission No. 315T-17, 10.08.2020) and is registered at ClinicalTrials.gov: NTC05458817 (14.07.2022).
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.1371/journal.pdig.0000295.t001（source: https://plos.figshare.com/articles/dataset/Methods_used_in_the_study_/25316508）。
数据缺失？
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