首次使用DSMT的预测模型
基于得克萨斯癌症登记处-Medicare关联数据,分析癌症幸存者首次使用糖尿病自我管理培训(DSMT)的预测模型及个体特征。

基本信息
资源简介
首次使用DSMT的预测模型
【一句话概览】
本数据集是 figshare 公开的结构化表格数据集,收录 1 个文件、合计 13.82 KB,主题涵盖 outcome variables include、medicaid dual eligibility、inferior health outcomes、adjusted odds ratio、texas cancer registry,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《Model predicting the first-time DSMT use.》。源站首次发布:2023-07-27。
【数据内容】
源站原始描述:Background Cancer treatment is associated with inferior health outcomes such as diabetes. Medicare provides Diabetes Self-Management Training (DSMT) program to beneficiaries to achieve normal metabolic control and reduce the risk of micro and macro-vascular complications. This study aimed to examine the trend of DSMT utilization among cancer survivors and assess individual characteristics associated with it. Methods The data for this study was from Texas Cancer Registry-Medicare linkage data of…
【数据结构与技术规格】
文件数 1 个,合计 13.82 KB。Table 3.xls:undefined,13.82 KB。数据集 DOI:10.1371/journal.pone.0289268.t003。
【主题与分类】
源站学科分类:Cell Biology、Biotechnology、Cancer、Science Policy、Infectious Diseases、Virology。主题标签:outcome variables include、medicaid dual eligibility、inferior health outcomes、adjusted odds ratio、texas cancer registry、colorectal cancer diagnosed、performed logistic regression、769 per 1、201 per 1、colorectal cancer survivors。
【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/Model_predicting_the_first-time_DSMT_use_/23794856
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Lee, Wei-Chen; Digbeu, Biai Dominique Elmir; Serag, Hani; Sallam, Hanaa; Kuo, Yong-Fang (2023). Model predicting the first-time DSMT use.. PLOS ONE. 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。
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:Model predicting the first-time DSMT use.
- DOI:10.1371/journal.pone.0289268.t003
- 发布日期:2023-07-27
- 文件数:1 个
- 文件总体积:13.82 KB
- 源站页面:https://plos.figshare.com/articles/dataset/Model_predicting_the_first-time_DSMT_use_/23794856
命令行下载
curl -L -o "Table 3.xls" "https://ndownloader.figshare.com/files/41733971"
文件清单
Table 3.xls(13.82 KB)
文件总体积 13.82 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
Cancer treatment is associated with inferior health outcomes such as diabetes. Medicare provides Diabetes Self-Management Training (DSMT) program to beneficiaries to achieve normal metabolic control and reduce the risk of micro and macro-vascular complications. This study aimed to examine the trend of DSMT utilization among cancer survivors and assess individual characteristics associated with it.
Methods
The data for this study was from Texas Cancer Registry-Medicare linkage data of patients with prostate, breast, or colorectal cancer diagnosed in 1999–2017. Outcome variables include the number of first-time DSMT users, the number of total users, and the average number of DSMT utilization in minutes. We performed logistic regression and gamma regression to obtain a multivariable-adjusted odds ratio for the association between DSMT utilization and individual characteristics.
Results
The number of first-time users has slowly increased over the years (from 99 to 769 per 1,000) but suddenly dropped after 2016. The number of all users (first-time and follow-up users) has increased (from 123 to 1,201 per 1,000) and plateaued after 2016. Determinants including Hispanic ethnicity (O.R. = 1.10) and Medicare-Medicaid dual eligibility (O.R. = 1.25) are positively associated with both the initiation and retention of the DSMT. A barrier to both initiation and retention of DSMT is living in a metropolitan area (O.R. = 0.90).
Conclusions
Multi-level strategies to enhance accessibility and availability of DSMT programs for Medicare beneficiaries are highly recommended. Examining the determinants of initiation and retention of DSMT over 14 years provides insights on strategies to meet the needs of cancer survivors and reduce the burden of diabetes on them.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.1371/journal.pone.0289268.t003(source: https://plos.figshare.com/articles/dataset/Model_predicting_the_first-time_DSMT_use_/23794856)。
数据缺失?
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