表S1 - 加州经皮冠状动脉介入治疗费用和价格变化的横截面分析
加州经皮冠状动脉介入治疗费用变化的横截面分析表格，包含患者特征对费用的影响数据。
基本信息
资源简介
表S1 - 加州经皮冠状动脉介入治疗费用和价格变化的横截面分析
【数据集背景】
本数据集源站标题为《Table S1 - A Cross-Sectional Analysis of Variation in Charges and Prices across California for Percutaneous Coronary Intervention》。配套论文《A Cross-Sectional Analysis of Variation in Charges and Prices across California for Percutaneous Coronary Intervention》发表于 PLoS ONE（2014），DOI：10.1371/journal.pone.0103829。源站首次发布：2014-08-04。
【数据内容】
源站原始描述：The impact of patient characteristics on raw charges. In this first step of our two-part regression model, we regressed multiple patient demographic and clinical characteristics listed above, along with hospital fixed effects, on the log of raw charges. The percent impact of each covariate on charges shown here represent the difference between the exponentiated coefficients from the model and one, to indicate percent change. This regression not only generated the impact of patient characteristic…
【数据结构与技术规格】
文件数 1 个，合计 66.35 KB。Table_S1.docx：application/vnd.openxmlformats-officedocument.wordprocessingml.document，66.35 KB。数据集 DOI：10.1371/journal.pone.0103829.s001。
【主题与分类】
源站学科分类：Biological Sciences。主题标签：cardiology、Acute cardiovascular problems、Interventional cardiology、Myocardial infarction、health care、Health care policy、Health systems strengthening、Health economics、Health care sector、Health services research。
【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/_A_Cross_Sectional_Analysis_of_Variation_in_Charges_and_Prices_across_California_for_Percutaneous_Coronary_Intervention_/1126647
使用许可：CC BY 4.0（https://creativecommons.org/licenses/by/4.0/）。
规范引用：Y. Hsia, Renee; Akosa Antwi, Yaa; Weber, Ellerie; Brownell Nath, Julia (2015). Table S1 - A Cross-Sectional Analysis of Variation in Charges and Prices across California for Percutaneous Coronary Intervention. PLOS ONE. Dataset
【使用注意】
· 源站最后修改于 2023-06-02，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：Table S1 - A Cross-Sectional Analysis of Variation in Charges and Prices across California for Percutaneous Coronary Intervention
- DOI：10.1371/journal.pone.0103829.s001
- 发布日期：2014-08-04
- 文件数：1 个
- 文件总体积：66.35 KB
- 源站页面：https://plos.figshare.com/articles/dataset/_A_Cross_Sectional_Analysis_of_Variation_in_Charges_and_Prices_across_California_for_Percutaneous_Coronary_Intervention_/1126647
命令行下载
curl -L -o "Table_S1.docx" "https://ndownloader.figshare.com/files/1620666"
文件清单
Table_S1.docx（66.35 KB）
文件总体积 66.35 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
The impact of patient characteristics on raw charges. In this first step of our two-part regression model, we regressed multiple patient demographic and clinical characteristics listed above, along with hospital fixed effects, on the log of raw charges. The percent impact of each covariate on charges shown here represent the difference between the exponentiated coefficients from the model and one, to indicate percent change. This regression not only generated the impact of patient characteristics on charges, but also was used to estimate the adjusted charge per average length of stay at each hospital.
(DOCX)
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.1371/journal.pone.0103829.s001（source: https://plos.figshare.com/articles/dataset/_A_Cross_Sectional_Analysis_of_Variation_in_Charges_and_Prices_across_California_for_Percutaneous_Coronary_Intervention_/1126647）。
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。
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