HIV-1感染患者CD4监测频率决策规则数据集
基于瑞士HIV队列研究数据,开发和验证CD4监测频率决策规则,以减少不必要的检测,优化资源利用。

基本信息
资源简介
HIV-1感染患者CD4监测频率决策规则数据集
【一句话概览】
本数据集是 figshare 公开的结构化表格数据集,收录 5 个文件、合计 388.47 KB,主题涵盖 validation、rules、monitoring、cd4、hiv-1,可用于统计建模、特征工程与队列分析,CC BY 4.0 许可开放获取。
【数据集背景】
本数据集源站标题为《Development and Validation of Decision Rules to Guide Frequency of Monitoring CD4 Cell Count in HIV-1 Infection before Starting Antiretroviral Therapy》。配套论文《Development and Validation of Decision Rules to Guide Frequency of Monitoring CD4 Cell Count in HIV-1 Infection before Starting Antiretroviral Therapy》发表于 PLoS ONE(2011),DOI:10.1371/journal.pone.0018578。源站首次发布:2011-04-08。
【数据内容】
源站原始描述:Background Although CD4 cell count monitoring is used to decide when to start antiretroviral therapy in patients with HIV-1 infection, there are no evidence-based recommendations regarding its optimal frequency. It is common practice to monitor every 3 to 6 months, often coupled with viral load monitoring. We developed rules to guide frequency of CD4 cell count monitoring in HIV infection before starting antiretroviral therapy, which we validated retrospectively in patients from the Swiss HIV Co…
【数据结构与技术规格】
文件数 5 个,合计 388.47 KB。Figure_S1.tif:image/tiff,94.54 KB。Appendix_S1.pdf:application/pdf,52.74 KB。Appendix_S2.pdf:application/pdf,60.83 KB。数据集 DOI:10.1371/journal.pone.0018578。
【主题与分类】
源站学科分类:Cancer、Biotechnology、Immunology。主题标签:validation、rules、monitoring、cd4、hiv-1、antiretroviral。
【适用方向】
结构化表格数据可直接用于统计建模、特征工程与队列分析。
【获取与许可】
源站页面:https://plos.figshare.com/articles/dataset/Development_and_Validation_of_Decision_Rules_to_Guide_Frequency_of_Monitoring_CD4_Cell_Count_in_HIV_1_Infection_before_Starting_Antiretroviral_Therapy/137643
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Buclin, Thierry; Telenti, Amalio; Perera, Rafael; Csajka, Chantal; Furrer, Hansjakob; K. Aronson, Jeffrey; et al. (2016). Development and Validation of Decision Rules to Guide Frequency of Monitoring CD4 Cell Count in HIV-1 Infection before Starting Antiretroviral Therapy. PLOS ONE. Dataset
【使用注意】
· 源站最后修改于 2023-05-31,引用时请注意版本时效。
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(Figshare)
- 源站标题:Development and Validation of Decision Rules to Guide Frequency of Monitoring CD4 Cell Count in HIV-1 Infection before Starting Antiretroviral Therapy
- DOI:10.1371/journal.pone.0018578
- 发布日期:2011-04-08
- 文件数:5 个
- 文件总体积:388.47 KB
- 源站页面:https://plos.figshare.com/articles/dataset/Development_and_Validation_of_Decision_Rules_to_Guide_Frequency_of_Monitoring_CD4_Cell_Count_in_HIV_1_Infection_before_Starting_Antiretroviral_Therapy/137643
命令行下载
curl -L -o "Figure_S1.tif" "https://ndownloader.figshare.com/files/393217"
curl -L -o "Appendix_S1.pdf" "https://ndownloader.figshare.com/files/393246"
curl -L -o "Appendix_S2.pdf" "https://ndownloader.figshare.com/files/393288"
curl -L -o "Excel_Tool_S1.xls" "https://ndownloader.figshare.com/files/393320"
curl -L -o "PRISMA_Flow_Diagram_S1.pdf" "https://ndownloader.figshare.com/files/393333"
文件清单
Figure_S1.tif(94.54 KB)Appendix_S1.pdf(52.74 KB)Appendix_S2.pdf(60.83 KB)Excel_Tool_S1.xls(120.32 KB)PRISMA_Flow_Diagram_S1.pdf(60.05 KB)
文件总体积 388.47 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
Background
Although CD4 cell count monitoring is used to decide when to start antiretroviral therapy in patients with HIV-1 infection, there are no evidence-based recommendations regarding its optimal frequency. It is common practice to monitor every 3 to 6 months, often coupled with viral load monitoring. We developed rules to guide frequency of CD4 cell count monitoring in HIV infection before starting antiretroviral therapy, which we validated retrospectively in patients from the Swiss HIV Cohort Study.
Methodology/Principal Findings
We built up two prediction rules (“Snap-shot rule” for a single sample and “Track-shot rule” for multiple determinations) based on a systematic review of published longitudinal analyses of CD4 cell count trajectories. We applied the rules in 2608 untreated patients to classify their 18 061 CD4 counts as either justifiable or superfluous, according to their prior ≥5% or 6/L, respectively. The Track-shot rule was only marginally superior to the Snap-shot rule. Both rules lose usefulness for CD4 counts coming near to treatment threshold.
Conclusions/Significance
Frequent CD4 count monitoring of patients with CD4 counts well above the threshold for initiating therapy is unlikely to identify patients who require therapy. It appears sufficient to measure CD4 cell count 1 year after a count >650 for a threshold of 200, >900 for 350, or >1150 for 500×106/L, respectively. When CD4 counts fall below these limits, increased monitoring frequency becomes advisable. These rules offer guidance for efficient CD4 monitoring, particularly in resource-limited settings.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.1371/journal.pone.0018578(source: https://plos.figshare.com/articles/dataset/Development_and_Validation_of_Decision_Rules_to_Guide_Frequency_of_Monitoring_CD4_Cell_Count_in_HIV_1_Infection_before_Starting_Antiretroviral_Therapy/137643)。
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。




