MUCOviscidose 囊性纤维化急性加重联网工具治疗教育

该数据集源自 clinicaltrials.gov,聚焦囊性纤维化(CF)患者的肺部急性加重(PEx)。PEx 是导致 CF 患者肺功能下降并进展为呼吸衰竭的主要原因,早期识别预警信号对及时治疗、减少呼吸损伤至关重要

Institut National de la Santé Et de la Recherche Médicale, FranceInstitut National de la Santé Et de la Recherche Médicale, France
clinicaltrials
浏览 9
时间序列预测Cystic Fibrosis
MUCOviscidose EXacerbation Outils Connectés Education Thérapeutique

基本信息

模态
时间序列
任务类型
预测
创建/更新时间
2026-10-12

资源简介

MUCOviscidose 囊性纤维化急性加重联网工具治疗教育

该数据集源自 clinicaltrials.gov,聚焦囊性纤维化(CF)患者的肺部急性加重(PEx)。PEx 是导致 CF 患者肺功能下降并进展为呼吸衰竭的主要原因,早期识别预警信号对及时治疗、减少呼吸损伤至关重要。数据涉及基于症状的评分、Euro-Care-CF 工作组推荐的抗生素治疗决策定义、DELPHI 研究识别的患者感知体征与照护者指标,以及生理参数与患者报告感知的组合。可用于急性加重的早期识别、预警建模与治疗教育相关研究(来源 clinicaltrials.gov)。

【数据内容】

源站描述(机器翻译,仅供参考):条件:囊性纤维化。背景:肺部急性加重(PEx)是囊性纤维化(CF)患者肺功能下降并导致呼吸衰竭的主要原因。识别 PEx 的预警信号是触发早期治疗、减少呼吸损伤的优先事项。一些作者尝试基于症状定义评分以标准化治疗。然而,缺乏共识导致 Euro-Care-CF-Working-Group 推荐将医疗抗生素治疗决策(或治疗调整)与 PEx 样症状相关联,作为临床试验中 PEx 的最佳定义。一项 DELPHI 研究确定了患者常感知的 10 种体征和照护者最常提及的 10 项指标。两项研究表明,生理参数(PP)与患者报告感知(PRP)的组合,如体重下降、肺功能下降、咳嗽加重或增加

【主题与分类】

主题标签:Cystic Fibrosis。本站分类:呼吸系统疾病。

【获取与许可】

源站页面:https://clinicaltrials.gov/study/NCT03304028

官方服务

专家保障全链路合规授权与标注交付

陕川双基地 × 超十家三甲医院直连

从合规授权、采集治理、专业标注到数据集交付,我们提供全链路闭环服务,让高质量临床数据即拿即用。

⚡️ 需要原始数据或标注支持?联系我们获取定制方案。

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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。

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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

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。

免费样本无法满足模型训练要求?千方提供经三甲医院脱敏、带病理回证与专家标注的商业级专病数据集。

使用方式

数据集获取

源站:https://clinicaltrials.gov/study/NCT03304028

标准获取流程:

  1. 访问源站链接,注册/登录账号;
  2. 进入数据集详情页,按页面指引申请权限或直接下载;
  3. 部分平台提供 SDK,例如:
    • OpenDataLab: pip install openxlab 后 openxlab.dataset.get(...)
    • ModelScope: pip install modelscope 后 modelscope download
    • 天池: 登录后页面提供直链下载
      以源站「数据下载/使用文档」页面为准。

数据说明

Conditions: Cystic Fibrosis. BACKGROUND Pulmonary exacerbations (PEx) are the major cause of lung function decline in Cystic Fibrosis (CF) patients leading to respiratory failure. Identifying warning signs of PEx is a priority to trigger early treatment and reduce respiratory damage. Some authors tried to define scores based on symptoms to standardize treatment. However, lack of consensus led the Euro-Care-CF-Working-Group to recommend the use of medical antibiotic treatment decision (or treatment modification) associated with PEx-like symptoms as best definition of PEx for clinical trials. A DELPHI study identified 10 signs frequently perceived by patients and 10 most often cited indicators by caregivers. Two studies have shown that a combination of physiological parameters (PP) and patient reported perceptions (PRP) such as weight loss, decreased spirometry , increased cough or increased sputum production reported daily, help diagnose PEx episodes and trigger early treatment. Clinical observations show that changes in PP and PRP related to PEx differ according to age and degree of lung function impairment. Currently, patients with CF do not routinely monitor their lung function at home, nor do they objectively track PP or PRP. Consequently, CF PEx can be diagnosed late when symptoms progress, in which they seek medical care. Thus, development of an effective approach that helps to monitor daily indicators of PEx to early identification and treatment is important. * Home monitoring of PEx symptoms Several studies have been conducted with daily monitoring of PEx symptoms. Most of these studies monitored one or two respiratory parameters with data transmission to the medical staff who decide what course of action to take. In addition, these studies used for each parameter the same alert limit for all patients, as it is known that patients with CF have different thresholds of these indicators,some may present more frequently than others. * CUSUM to monitor indicators of pulmonary exacerbation The

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。

需要用于商业化训练或医疗器械注册(NMPA/FDA)?

公开数据往往缺乏完整的病理回证与专家标注。千方医数集依托陕川双基地与超十家三甲医院直连,提供完全合规、去标识化、支持注册级质控的专病数据集交易服务。