Name: Expected proportion of correctly classified women, expected costs and incremental cost per correctly classified woman for all test strategies in the main analysis and the two univariate sensitivity analyses excluding strategies containing a dipslide and strategies containing a sediment
Creator: 千方医数集科研发现管道
License: CC BY 4.0

基本信息

模态

表格

大小

0.000009728 GB

许可

CC BY 4.0

创建/更新时间

2026-10-08

版本

v1

资源简介

Expected proportion of correctly classified women, expected costs and incremental cost per correctly classified woman for all test strategies in the main analysis and the two univariate sensitivity analyses excluding strategies containing a dipslide and strategies containing a sediment

【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 9.73 KB，主题涵盖 Probabilistic sensitivity analysis、threshold、GP、strategy、decision trees，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《Expected proportion of correctly classified women, expected costs and incremental cost per correctly classified woman for all test strategies in the main analysis and the two univariate sensitivity analyses excluding strategies containing a dipslide and strategies containing a sediment.》。配套论文《Cost-effectiveness of different strategies for diagnosis of uncomplicated urinary tract infections in women presenting in primary care》发表于 PLOS ONE（2017），DOI：10.1371/journal.pone.0188818。源站首次发布：2017-11-29。

【数据内容】

源站原始描述：Expected proportion of correctly classified women, expected costs and incremental cost per correctly classified woman for all test strategies in the main analysis and the two univariate sensitivity analyses excluding strategies containing a dipslide and strategies containing a sediment

【数据结构与技术规格】

文件数 1 个，合计 9.73 KB。Table 3.xls：application/vnd.ms-excel，9.73 KB。数据集 DOI：10.1371/journal.pone.0188818.t003。

【主题与分类】

源站学科分类：Biotechnology、Sociology、Infectious Diseases、Virology。主题标签：Probabilistic sensitivity analysis、threshold、GP、strategy、decision trees、sequential testing strategies、model-based cost-effectiveness analysis、UTI、ceiling ratios。

【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/Expected_proportion_of_correctly_classified_women_expected_costs_and_incremental_cost_per_correctly_classified_woman_for_all_test_strategies_in_the_main_analysis_and_the_two_univariate_sensitivity_analyses_excluding_strategies_containing_a_dipslide_and_st/5646586

使用许可：CC BY 4.0（https://creativecommons.org/licenses/by/4.0/）。

规范引用：E. Bosmans, Judith; Coupé, Veerle M. H.; Knottnerus, Bart J.; E. Geerlings, Suzanne; P. Moll van Charante, Eric; ter Riet, Gerben (2017). Expected proportion of correctly classified women, expected costs and incremental cost per correctly classified woman for all test strategies in the main analysis…

【使用注意】

· 源站最后修改于 2023-05-30，引用时请注意版本时效。

原始链接

https://figshare.com/articles/dataset/Expected_proportion_of_correctly_classified_women_expected_costs_and_incremental_cost_per_correctly_classified_woman_for_all_test_strategies_in_the_main_analysis_and_the_two_univariate_sensitivity_analyses_excluding_strategies_containing_a_dipslide_and_st/5646586

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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。

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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：Expected proportion of correctly classified women, expected costs and incremental cost per correctly classified woman for all test strategies in the main analysis and the two univariate sensitivity analyses excluding strategies containing a dipslide and strategies containing a sediment.
DOI：10.1371/journal.pone.0188818.t003
发布日期：2017-11-29
文件数：1 个
文件总体积：9.73 KB
源站页面：https://plos.figshare.com/articles/dataset/Expected_proportion_of_correctly_classified_women_expected_costs_and_incremental_cost_per_correctly_classified_woman_for_all_test_strategies_in_the_main_analysis_and_the_two_univariate_sensitivity_analyses_excluding_strategies_containing_a_dipslide_and_st/5646586

命令行下载

curl -L -o "Table 3.xls" "https://ndownloader.figshare.com/files/9844786"

文件清单

Table 3.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

Expected proportion of correctly classified women, expected costs and incremental cost per correctly classified woman for all test strategies in the main analysis and the two univariate sensitivity analyses excluding strategies containing a dipslide and strategies containing a sediment.