别嘌呤醇在预防失代偿期肝硬化相关并发症中的作用

本数据集来自 clinicaltrials.gov,主题为别嘌呤醇在预防失代偿期肝硬化相关并发症中的作用。肝硬化是多种慢性肝病的终末通路,每年约导致100万人死亡,在东南亚、欧洲、非洲及东地中海地区均位居主要死因之列,在孟加拉国为男女第十位死因

Bangladesh Medical UniversityBangladesh Medical University
clinicaltrials
浏览 12
其他预测Cirrhoses, LiverDecompensated Cirrhosis of Liver
Role of Allopurinol in Prevention of Complications Related to Decompensated Cirrhosis of Liver

基本信息

模态
其他
任务类型
预测
创建/更新时间
2026-10-12

资源简介

别嘌呤醇在预防失代偿期肝硬化相关并发症中的作用

本数据集来自 clinicaltrials.gov,主题为别嘌呤醇在预防失代偿期肝硬化相关并发症中的作用。肝硬化是多种慢性肝病的终末通路,每年约导致100万人死亡,在东南亚、欧洲、非洲及东地中海地区均位居主要死因之列,在孟加拉国为男女第十位死因。数据覆盖肝硬化与失代偿期肝硬化相关条件,可用于研究别嘌呤醇对失代偿期肝硬化并发症的预防效果,支持临床预测与治疗评估(来源 clinicaltrials.gov)。

【数据内容】

源站描述(机器翻译,仅供参考):条件:肝硬化、失代偿期肝硬化。肝硬化每年约导致100万人死亡。除临床负担外,它还造成显著的发病率、健康相关生活质量(HRQL)损害和经济负担(Younossi et al. 2023)。它是多种慢性肝病的最终通路,是一种病理实体,定义为弥漫性肝纤维化,正常肝脏结构被结节取代(Feldman et al. 2015)。它目前是东南亚和欧洲的第9位死因;非洲的第10位死因;东地中海地区的第5位死因(Devarbhavi et al. 2023)。根据世界卫生组织,肝硬化是孟加拉国男性和女性的第10位死因(World Health Organization, 2021)。Alc

【主题与分类】

主题标签:Cirrhoses, Liver、Decompensated Cirrhosis of Liver。本站分类:消化系统疾病。

【获取与许可】

源站页面:https://clinicaltrials.gov/study/NCT07800598

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。

帮我联系

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。

暂未开放

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

有偿下载

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

源站:https://clinicaltrials.gov/study/NCT07800598

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: Cirrhoses, Liver, Decompensated Cirrhosis of Liver. Cirrhosis of liver accounts for approximately 1 million deaths per year. In addition to its clinical burden, it causes significant morbidity, impairment of health-related quality of life (HRQL), and economic burden (Younossi et al. 2023). It is the final pathway for a wide variety of chronic liver diseases, a pathologic entity defined as diffuse hepatic fibrosis with the replacement of the normal liver architecture by nodules (Feldman et al. 2015). It is currently the 9th leading cause of death in South East Asia and Europe; 10th leading cause of death in Africa ; and the 5th leading cause of death in the Eastern Mediterranean (Devarbhavi et al. 2023). According to World Health Organization, cirrhosis of liver is the 〖10〗^th leading cause of death in Bangladesh for both male and female (World Health Organization , 2021). Alcohol consumption, chronic hepatitis C infection, and NAFLD are the most common causes of cirrhosis in Western countries, while chronic hepatitis B is the predominant cause in the Asia-Pacific region. Other causes include inherited conditions like hemochromatosis and Wilson’s disease, along with primary biliary cholangitis, primary sclerosing cholangitis, and autoimmune hepatitis. In some cases, the cause of cirrhosis is unknown or cryptogenic (Zhou et al. 2014). Cirrhosis is classified in two main prognostic stages: compensated and decompensated cirrhosis. Decompensation means cirrhosis with one of the following: ascites, bleeding varices, hepatic encephalopathy or jaundice. Median survival in the compensated stage exceeds 12 years where as it is only 2 years in patients who develop decompensation (D’Amico et al. 2006). Cirrhosis advances from a compensated stage to a decompensated stage at a rate of 5%-7% annually (Kaur et al. 2025). The gut-liver axis functions as a crucial system that helps protect the body from potentially harmful substances and microorganisms, while also preserving the balance and stability of the immune system (Ponziani et

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。

数据缺失?

依托陕西、四川两大基地,我们与超过十家三甲医院建立直接合作关系,覆盖合规授权、采集治理、专业标注、数据交付的全流程,为AI医疗团队提供即拿即用的高质量临床数据。

⚡️ 需要数据支持或标注服务?立即联系我们获取专业方案。

获取专属数据定制方案