巴西纳塔尔市某医院老年人传染病住院费用相关因素数据集
巴西纳塔尔某医院老年人传染病住院费用及相关因素数据集,包含2005-2009年住院费用、住院天数、结局等数据。

基本信息
资源简介
巴西纳塔尔市某医院老年人传染病住院费用相关因素数据集
【一句话概览】
本研究分析老年人感染性疾病住院直接费用的相关因素,对北里奥格兰德州纳塔尔市一家参考医院2005年1月至2009年12月收治的60岁及以上老年患者住院费用进行个案研究,并采用多元线性回归(对数线性)模型分析。结果显示,住院每增加一天,平均花费增加3%;死亡老年患者的住院费用较出院患者增加71.6%(来源 figshare,CC BY 4.0 许可)。
【数据集背景】
本数据集源站标题为《Associated factors with costs of hospital admissions for infectious diseases in the elderly in a hospital in Natal, Rio Grande do Norte》。配套论文《Fatores associados ao custo das internações hospitalares por doenças infecciosas em idosos em hospital de referência na cidade do Natal, Rio Grande do Norte》发表于 Cadernos Saúde Coletiva(2015),DOI:10.1590/1414-462X201500010011。源站首次发布:2018-12-26。
【数据内容】
源站原始描述:This study examined the factors associated with direct cost of hospitalizations for infectious diseases in the elderly. We conducted a case study of the costs of hospitalization in elderly patients with 60 or more years admitted in a reference hospital in the city of Natal, state of Rio Grande do Norte, during the period from January 2005 to December 2009. The Multiple Linear Regression model (log-linear) was applied to analyze the factors associated with hospitalization costs. The results of th…
【数据结构与技术规格】
文件数 2 个,合计 11.26 KB。数据集 DOI:10.6084/m9.figshare.7508366.v1。
【主题与分类】
源站学科分类:Environmental and Occupational Health and Safety。主题标签:aged、hospital costs、communicable diseases。
【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://scielo.figshare.com/articles/dataset/Associated_factors_with_costs_of_hospital_admissions_for_infectious_diseases_in_the_elderly_in_a_hospital_in_Natal_Rio_Grande_do_Norte/7508366
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Piuvezam, Grasiela; Freitas, Marise Reis de; Costa, José Vilton; Freitas, Paula Alves de; Cardoso, Poliana Marise de Oliveira; Medeiros, Ana Claudia Moraes; et al. (2015). Associated factors with costs of hospital admissions for infectious diseases in the elderly in a hospital in Natal, Rio Grande d…
【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:Associated factors with costs of hospital admissions for infectious diseases in the elderly in a hospital in Natal, Rio Grande do Norte
- DOI:10.6084/m9.figshare.7508366.v1
- 发布日期:2018-12-26
- 文件数:2 个
- 文件总体积:11.26 KB
- 源站页面:https://scielo.figshare.com/articles/dataset/Associated_factors_with_costs_of_hospital_admissions_for_infectious_diseases_in_the_elderly_in_a_hospital_in_Natal_Rio_Grande_do_Norte/7508366
命令行下载
curl -L -o "Table_1.xls" "https://ndownloader.figshare.com/files/13919678"
curl -L -o "Table_2.xls" "https://ndownloader.figshare.com/files/13919681"
文件清单
Table_1.xls(5.63 KB)Table_2.xls(5.63 KB)
文件总体积 11.26 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
This study examined the factors associated with direct cost of hospitalizations for infectious diseases in the elderly. We conducted a case study of the costs of hospitalization in elderly patients with 60 or more years admitted in a reference hospital in the city of Natal, state of Rio Grande do Norte, during the period from January 2005 to December 2009. The Multiple Linear Regression model (log-linear) was applied to analyze the factors associated with hospitalization costs. The results of the regression model showed that each additional day of hospitalization determined a 3% increase in average spending and admissions of elderly who died produced a 71.6% increase in costs relative to admissions of patients discharged.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.6084/m9.figshare.7508366.v1(source: https://scielo.figshare.com/articles/dataset/Associated_factors_with_costs_of_hospital_admissions_for_infectious_diseases_in_the_elderly_in_a_hospital_in_Natal_Rio_Grande_do_Norte/7508366)。
数据缺失?
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