使用大规模医疗索赔数据建模医疗利用异质性数据集

数据集获取（Figshare）

• 源站标题：Modeling Heterogeneity in Healthcare Utilization Using Massive Medical Claims Data
• DOI：10.6084/m9.figshare.5144320.v1
• 发布日期：2017-06-26
• 文件数：2 个
• 文件总体积：2.64 MB
• 源站页面：https://tandf.figshare.com/articles/dataset/Modeling_Heterogeneity_in_Healthcare_Utilization_Using_Massive_Medical_Claims_Data/5144320

命令行下载

curl -L -o "Code and Synthetic Data.zip" "https://ndownloader.figshare.com/files/8754697"
curl -L -o "FinalSuppMaterial.pdf" "https://ndownloader.figshare.com/files/8754700"

文件清单

• Code and Synthetic Data.zip（12.90 KB）
• FinalSuppMaterial.pdf（2.63 MB）

文件总体积 2.64 MB（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

We introduce a modeling approach for characterizing heterogeneity in healthcare utilization using massive medical claims data. We first translate the medical claims observed for a large study population and across five years into individual-level discrete events of care called utilization sequences. We model the utilization sequences using an exponential proportional hazards mixture model to capture heterogeneous behaviors in patients’ healthcare utilization. The objective is to cluster patients according to their longitudinal utilization behaviors and to determine the main drivers of variation in healthcare utilization while controlling for the demographic, geographic, and health characteristics of the patients. Due to the computational infeasibility of fitting a parametric proportional hazards model for high-dimensional, large-sample size data we use an iterative one-step procedure to estimate the model parameters and impute the cluster membership. The approach is used to draw inferences on utilization behaviors of children in the Medicaid system with persistent asthma across six states. We conclude with policy implications for targeted interventions to improve adherence to recommended care practices for pediatric asthma. Supplementary materials for this article are available online.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.5144320.v1（source: https://tandf.figshare.com/articles/dataset/Modeling_Heterogeneity_in_Healthcare_Utilization_Using_Massive_Medical_Claims_Data/5144320）。