韩国2011-2018年健康保险审查评估理赔数据中的寄生虫感染与医疗费用

基于韩国HIRA理赔数据,分析2011-2018年寄生虫感染趋势及医疗费用,覆盖10种寄生虫病。

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2019-11-26 更新
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表格Assessment claims dataclaims dataMethods Basic datasoil-transmitted helminth infectionsKoreaHealthcare Bigdata Hub2018.expense8- year periodanisakiasiHealth Insurance ReviewPlasmodium vivax infection
Parasitic infections and medical expenses according to Health Insurance Review Assessment claims data in South Korea, 2011–2018

基本信息

模态
表格
大小
0.000070444 GB
许可
CC BY 4.0
创建/更新时间
2019-11-26
版本
v1

资源简介

韩国2011-2018年健康保险审查评估理赔数据中的寄生虫感染与医疗费用

【数据集背景】

本数据集源站标题为《Parasitic infections and medical expenses according to Health Insurance Review Assessment claims data in South Korea, 2011–2018》。配套论文《Parasitic infections and medical expenses according to Health Insurance Review Assessment claims data in South Korea, 2011–2018》发表于 PLOS ONE(2019),DOI:10.1371/journal.pone.0225508。源站首次发布:2019-11-26。

【数据内容】

源站原始描述:Introduction In South Korea, Health Insurance Review and Assessment claims data contain comprehensive information on healthcare services for almost the entire population. The present study used claims data on parasitic diseases from 2011 to 2018, and associated medical expenses to investigate infection trends associated with endemic parasitic diseases in South Korea, including those not monitored by Korea Centers for Disease Control and Prevention. Methods Basic data regarding each parasitic dis…

【数据结构与技术规格】

文件数 4 个,合计 70.44 KB。pone.0225508.s001.xlsx:application/vnd.openxmlformats-officedocument.spreadsheetml.sheet,13.26 KB。pone.0225508.s002.xlsx:application/vnd.openxmlformats-officedocument.spreadsheetml.sheet,20.20 KB。pone.0225508.s003.xlsx:application/vnd.openxmlformats-officedocument.spreadsheetml.sheet,23.00 KB。数据集 DOI:10.1371/journal.pone.0225508。

【主题与分类】

源站学科分类:Medicine、Microbiology、Biotechnology、Immunology、Science Policy、Infectious Diseases。主题标签:Assessment claims data、claims data、Health Insurance Review Assessment claims data、Methods Basic data、soil-transmitted helminth infections、Korea、Healthcare Bigdata Hub、2018.、expense、8- year period。

【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/Parasitic_infections_and_medical_expenses_according_to_Health_Insurance_Review_Assessment_claims_data_in_South_Korea_2011_2018/11227382

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

规范引用:Kim, Ju Yeong; Yi, Myung-hee; Yong, Tai-Soon (2019). Parasitic infections and medical expenses according to Health Insurance Review Assessment claims data in South Korea, 2011–2018. PLOS ONE. Dataset

【使用注意】

· 源站最后修改于 2023-05-30,引用时请注意版本时效。

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⚡️ 需要原始数据或标注支持?联系我们获取定制方案。

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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。

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)

命令行下载

curl -L -o "pone.0225508.s001.xlsx" "https://ndownloader.figshare.com/files/19821494"
curl -L -o "pone.0225508.s002.xlsx" "https://ndownloader.figshare.com/files/19821500"
curl -L -o "pone.0225508.s003.xlsx" "https://ndownloader.figshare.com/files/19821503"
curl -L -o "pone.0225508.s004.xlsx" "https://ndownloader.figshare.com/files/19821506"

文件清单

  • pone.0225508.s001.xlsx(13.26 KB)
  • pone.0225508.s002.xlsx(20.20 KB)
  • pone.0225508.s003.xlsx(23.00 KB)
  • pone.0225508.s004.xlsx(13.98 KB)

文件总体积 70.44 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

Introduction
In South Korea, Health Insurance Review and Assessment claims data contain comprehensive information on healthcare services for almost the entire population. The present study used claims data on parasitic diseases from 2011 to 2018, and associated medical expenses to investigate infection trends associated with endemic parasitic diseases in South Korea, including those not monitored by Korea Centers for Disease Control and Prevention.
Methods
Basic data regarding each parasitic disease were curated from the Healthcare Bigdata Hub (http://opendata.hira.or.kr). Ten endemic parasitic diseases, three pandemic protozoan diseases, and three ectoparasitic diseases were evaluated between 2011 and 2018. Data on each parasitic disease included the number of patients of each sex, age range within 5 years, province, and total medical expenses. Heatmap and principal component analysis were performed to visualize the incidence pattern of parasitic diseases by provinces.
Results
Clonorchiasis and pinworm infections decreased remarkably from 6,097 and 4,018 infections in 2011 to 3,008 and 1,988 infections in 2018, respectively. Other endemic parasitic diseases mostly declined or remained steady over the 8-year period, except for anisakiasis, which doubled from 409 in 2011 to 818 in 2018. Provinces close to North Korea had a higher frequency of claims for Plasmodium vivax infection. The highest rate of clonorchiasis was in Gyeongsangnam-do, while that of anisakiasis was in southern Korea. Jeju province had the highest number of claims for cysticercosis, anisakiasis, pinworm infection, and soil-transmitted helminth infections. The total medical expense for anisakiasis was 65 million Korean won (57,000 US$) in 2011, rising to 237 million Korean won (206,000 US$) in 2018. The medical expense for trichomoniasis was 6,063 million won and for scabies was 1,669 million won in 2018. Since the claims data include only data reported by healthcare providers, some discrepancies might have occurred.
Conclusion
Our findings provide the basis for a health policy to reduce further infections and medical expense.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0225508(source: https://plos.figshare.com/articles/dataset/Parasitic_infections_and_medical_expenses_according_to_Health_Insurance_Review_Assessment_claims_data_in_South_Korea_2011_2018/11227382)。

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