中国广西67家医院肺癌患者治疗费用、趋势及影响因素数据集
提供广西67家医院2013-2016年肺癌患者住院费用、趋势及相关因素的数据集。
基本信息
资源简介
中国广西67家医院肺癌患者治疗费用、趋势及影响因素数据集
【一句话概览】
本数据集是 figshare 公开的结构化表格数据集，收录 1 个文件、合计 14.76 KB，主题涵盖 Big data、cost per day、cost per stay、healthcare access、health economics，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《Costs, Trends, and Related Factors in Treating Lung Cancer Patients in 67 Hospitals in Guangxi, China》。配套论文《Costs, Trends, and Related Factors in Treating Lung Cancer Patients in 67 Hospitals in Guangxi, China》发表于 Cancer Investigation（2017），DOI：10.1080/07357907.2017.1296156。源站首次发布：2017-04-03。
【数据内容】
源站原始描述：Lung cancer is a common disease with high mortality in China. Recent economic advances have led to improved medical capabilities, while costs associated with treating this disease have increased. Such change contributes to a commonly held belief that healthcare costs are out of control. However, few studies have examined this issue. Here, we use 34,678 hospitalization summary reports from 67 Guangxi hospitals (period 2013–2016) to document costs, temporal trends, and associated factors. Findings…
【数据结构与技术规格】
文件数 1 个，合计 14.76 KB。icnv_a_1296156_sm1467.xlsx：application/vnd.openxmlformats-officedocument.spreadsheetml.sheet，14.76 KB。数据集 DOI：10.6084/m9.figshare.4813972.v1。
【主题与分类】
源站学科分类：Medicine、Genetics、Sociology、Biological Sciences not elsewhere classified、Cancer、Science Policy。主题标签：Big data、cost per day、cost per stay、healthcare access、health economics、hospitalization。
【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://tandf.figshare.com/articles/dataset/Costs_Trends_and_Related_Factors_in_Treating_Lung_Cancer_Patients_in_67_Hospitals_in_Guangxi_China/4813972
使用许可：CC BY 4.0（https://creativecommons.org/licenses/by/4.0/）。
规范引用：Costs, Trends, and Related Factors in Treating Lung Cancer Patients in 67 Hospitals in Guangxi, China. Taylor & Francis. Zhou, Li-Fang; Zhang, Mao-Xin; Kong, Ling-Qian; H. Lyman, Gary; Wang, Ke; Lu, Wei; et al
【使用注意】
· 源站最后修改于 2023-06-01，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：Costs, Trends, and Related Factors in Treating Lung Cancer Patients in 67 Hospitals in Guangxi, China
- DOI：10.6084/m9.figshare.4813972.v1
- 发布日期：2017-04-03
- 文件数：1 个
- 文件总体积：14.76 KB
- 源站页面：https://tandf.figshare.com/articles/dataset/Costs_Trends_and_Related_Factors_in_Treating_Lung_Cancer_Patients_in_67_Hospitals_in_Guangxi_China/4813972
命令行下载
curl -L -o "icnv_a_1296156_sm1467.xlsx" "https://ndownloader.figshare.com/files/7970566"
文件清单
icnv_a_1296156_sm1467.xlsx（14.76 KB）
文件总体积 14.76 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
Lung cancer is a common disease with high mortality in China. Recent economic advances have led to improved medical capabilities, while costs associated with treating this disease have increased. Such change contributes to a commonly held belief that healthcare costs are out of control. However, few studies have examined this issue. Here, we use 34,678 hospitalization summary reports from 67 Guangxi hospitals (period 2013–2016) to document costs, temporal trends, and associated factors. Findings from this study are surprising in that they debunk the myth of uncontrolled healthcare costs. In addition, results and experiences from Guangxi are informative for other comparable regions.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.6084/m9.figshare.4813972.v1（source: https://tandf.figshare.com/articles/dataset/Costs_Trends_and_Related_Factors_in_Treating_Lung_Cancer_Patients_in_67_Hospitals_in_Guangxi_China/4813972）。
需要用于商业化训练或医疗器械注册（NMPA/FDA）？
公开数据往往缺乏完整的病理回证与专家标注。千方医数集依托陕川双基地与超十家三甲医院直连，提供完全合规、去标识化、支持注册级质控的专病数据集交易服务。
