基于活动类型的每位患者医疗成本(全因和肺炎相关)12个月随访(迪拜真实世界理赔数据库,2014-2019)

基于迪拜2014-2019年真实世界理赔数据库,汇总肺炎患者12个月随访内全因及肺炎相关的人均医疗成本。

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Healthcare cost per patient based on activity type (all-cause and pneumonia-related) during 12-month follow-up (patients having at least one claim for pneumonia during 12-month follow-up period were included in the analysis; Dubai Real-World Claims Database, 2014 to 2019)

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
2026-10-10
版本
v1

资源简介

基于活动类型的每位患者医疗成本(全因和肺炎相关)12个月随访(迪拜真实世界理赔数据库,2014-2019)

【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 united arab emirates、similar pattern across、aged &# 8805、882 ), however、206 usd respectively,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《Healthcare cost per patient based on activity type (all-cause and pneumonia-related) during 12-month follow-up (patients having at least one claim for pneumonia during 12-month follow-up period were included in the analysis; Dubai Real-World Claims Database, 2014 to 2019).》。配套论文《Real-world evaluation of costs of illness for pneumonia in adult patients in Dubai—A claims database study》发表于 PLOS ONE(2021),DOI:10.1371/journal.pone.0256856。源站首次发布:2021-09-01。

【数据内容】

源站原始描述:Healthcare cost per patient based on activity type (all-cause and pneumonia-related) during 12-month follow-up (patients having at least one claim for pneumonia during 12-month follow-up period were included in the analysis; Dubai Real-World Claims Database, 2014 to 2019)

【数据结构与技术规格】

文件数 1 个,合计 9.73 KB。Table 5.xls:application/vnd.ms-excel,9.73 KB。数据集 DOI:10.1371/journal.pone.0256856.t005。

【主题与分类】

源站学科分类:Medicine、Biotechnology、Sociology、Developmental Biology、Cancer、Infectious Diseases。主题标签:united arab emirates、similar pattern across、aged &# 8805、882 ), however、206 usd respectively、166 usd respectively、similar across cohorts、dubai &# 8212、significant healthcare burden、world claims database。

【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/Healthcare_cost_per_patient_based_on_activity_type_all-cause_and_pneumonia-related_during_12-month_follow-up_patients_having_at_least_one_claim_for_pneumonia_during_12-month_follow-up_period_were_included_in_the_analysis_Dubai_Real-World_Cl/16554740

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

规范引用:Dallal, Sara Ahmad Mohammad Al; Farghaly, Mohamed; Ghorab, Ahmed; Elaassar, Mostafa; Haridy, Hammam; Awad, Nancy; et al. (2021). Healthcare cost per patient based on activity type (all-cause and pneumonia-related) during 12-month follow-up (patients having at least one claim for pneumonia during 12-…

【使用注意】

· 源站最后修改于 2023-06-10,引用时请注意版本时效。

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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。

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。

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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)

命令行下载

curl -L -o "Table 5.xls" "https://ndownloader.figshare.com/files/30614567"

文件清单

  • Table 5.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

Healthcare cost per patient based on activity type (all-cause and pneumonia-related) during 12-month follow-up (patients having at least one claim for pneumonia during 12-month follow-up period were included in the analysis; Dubai Real-World Claims Database, 2014 to 2019).

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0256856.t005(source: https://plos.figshare.com/articles/dataset/Healthcare_cost_per_patient_based_on_activity_type_all-cause_and_pneumonia-related_during_12-month_follow-up_patients_having_at_least_one_claim_for_pneumonia_during_12-month_follow-up_period_were_included_in_the_analysis_Dubai_Real-World_Cl/16554740)。

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。

⚡️ 需要数据支持或标注服务?立即联系我们获取专业方案。

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