马尔可夫健康状态转换模型输入数据
慢性肝病合并大食管静脉曲张患者管理经济评估的马尔可夫模型输入数据,包含流行病学、效用和价格参数。

基本信息
资源简介
马尔可夫健康状态转换模型输入数据
【数据集背景】
本数据集源站标题为《Markov health state transition model inputs.》。源站首次发布:2024-11-22。
【数据内容】
源站原始描述:Aims The dual oral cholate challenge test (DuO) quantifies liver function and portal-systemic shunting. Herein we report the economic impact of the use of the DuO Disease Severity Index (DSI) in the clinical management of patients with chronic liver disease suspected of having large esophageal varices. Methods A Markov health state transition model of 100,000 patients with chronic liver disease suspected of having varices was populated with previously reported epidemiological, utility, and price…
【数据结构与技术规格】
文件数 1 个,合计 9.73 KB。Table 2.xls:application/vnd.ms-excel,9.73 KB。数据集 DOI:10.1371/journal.pone.0313006.t002。
【主题与分类】
源站学科分类:Medicine、Biotechnology、Science Policy、Infectious Diseases。主题标签:quantifies liver function、previously reported epidemiological、given fixed prices、213 per test、large esophageal varices、healthcare management decisions、duo test offers、100 per test、dsi results would、duo test。
【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/Markov_health_state_transition_model_inputs_/27892253
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Chavan, Shailesh; McRae, Michael P.; Pitts, Kelly R.; Everson, Gregory T. (2024). Markov health state transition model inputs.. 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:Markov health state transition model inputs.
- DOI:10.1371/journal.pone.0313006.t002
- 发布日期:2024-11-22
- 文件数:1 个
- 文件总体积:9.73 KB
- 源站页面:https://plos.figshare.com/articles/dataset/Markov_health_state_transition_model_inputs_/27892253
命令行下载
curl -L -o "Table 2.xls" "https://ndownloader.figshare.com/files/50722817"
文件清单
Table 2.xls(9.73 KB)
文件总体积 9.73 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
Aims
The dual oral cholate challenge test (DuO) quantifies liver function and portal-systemic shunting. Herein we report the economic impact of the use of the DuO Disease Severity Index (DSI) in the clinical management of patients with chronic liver disease suspected of having large esophageal varices.
Methods
A Markov health state transition model of 100,000 patients with chronic liver disease suspected of having varices was populated with previously reported epidemiological, utility, and price data to assess the cost-effectiveness of employing the DuO test against the standard of care. The model examined the clinical and economic impact of healthcare management decisions all centered around the DSI score and given fixed prices of the DuO test.
Results
In the target population, the combined strategy of healthcare management decisions based on DSI results would be highly cost-effective within two years for a price of $3,250 per DuO test. These same management decisions would save 2,740 lives over five years. For a price of ≤$3,213 per test, this intervention would be cost-saving within two years, and for ≤$4,100 per test it would be cost-saving within five years.
Conclusions
Clinical decisions based on DSI from DuO are cost-effective in the management of patients with chronic liver disease suspected of having large esophageal varices. Future studies of direct comparison of DuO with other noninvasive tests are warranted. The DuO test offers a simplified approach that could enhance the clinical and research utility of liver function testing.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.1371/journal.pone.0313006.t002(source: https://plos.figshare.com/articles/dataset/Markov_health_state_transition_model_inputs_/27892253)。
数据缺失?
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