基于有限元的全髋关节置换患者变异性的采样策略数据集
包含103例全髋关节置换有限元模型输出指标及五种采样策略子集，用于评估患者变异性近似效果。
基本信息
资源简介
基于有限元的全髋关节置换患者变异性的采样策略数据集
【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 14.98 KB，主题涵盖 finite element modelling、patient variability、acetabular cup、total hip replacement、Biological Engineering，可用于统计建模、特征工程与队列分析，CC0 许可开放获取。
【数据集背景】
本数据集源站标题为《Dataset for: Sampling strategies for approximating patient variability in population-based finite element studies of total hip replacement》。配套论文《Sampling strategies for approximating patient variability in population‐based finite element studies of total hip replacement》发表于 International Journal for Numerical Methods in Biomedical Engineering（2018），DOI：10.1002/cnm.3168。源站首次发布：2018-11-19。
【数据内容】
源站原始描述：Total hip replacements must be robust to patient variability for long-term success in the population. The challenge during the design process is evaluating an implant in a diverse population but the computational cost of simulating a population of subject-specific finite element (FE) models is not practical. We examined five strategies to generate representative subsets of subjects from a cohort of 103 implanted hip joint FE models to approximate the variability in output metrics. Comparing to t…
【数据结构与技术规格】
文件数 1 个，合计 14.98 KB。sampling_strategies.zip：application/zip，14.98 KB。数据集 DOI：10.6084/m9.figshare.7273073.v1。
【主题与分类】
源站学科分类：Agricultural biotechnology not elsewhere classified、Numerical analysis。主题标签：finite element modelling、patient variability、acetabular cup、total hip replacement、Biological Engineering、Numerical Analysis。
【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://wiley.figshare.com/articles/dataset/Dataset_for_Sampling_strategies_for_approximating_patient_variability_in_population-based_finite_element_studies_of_total_hip_replacement/7273073
使用许可：CC0（https://creativecommons.org/publicdomain/zero/1.0/）。
规范引用：O''Rourke, Dermot; Bottema, Murk; Taylor, Mark (2018). Dataset for: Sampling strategies for approximating patient variability in population-based finite element studies of total hip replacement. Wiley. 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。
下载信息
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使用方式
数据集获取（Figshare）
- 源站标题：Dataset for: Sampling strategies for approximating patient variability in population-based finite element studies of total hip replacement
- DOI：10.6084/m9.figshare.7273073.v1
- 发布日期：2018-11-19
- 文件数：1 个
- 文件总体积：14.98 KB
- 源站页面：https://wiley.figshare.com/articles/dataset/Dataset_for_Sampling_strategies_for_approximating_patient_variability_in_population-based_finite_element_studies_of_total_hip_replacement/7273073
命令行下载
curl -L -o "sampling_strategies.zip" "https://ndownloader.figshare.com/files/13431413"
文件清单
sampling_strategies.zip（14.98 KB）
文件总体积 14.98 KB（源站 API 实测）。
数据说明
Total hip replacements must be robust to patient variability for long-term success in the population. The challenge during the design process is evaluating an implant in a diverse population but the computational cost of simulating a population of subject-specific finite element (FE) models is not practical. We examined five strategies to generate representative subsets of subjects from a cohort of 103 implanted hip joint FE models to approximate the variability in output metrics. Comparing to the median and distribution of the 95th percentile composite peak micromotion (CPM) and polar gap in the full cohort (CPM median: 136 µm, interquartile range (IQR): 74 – 230 µm) (Polar Gap median: 467 µm, IQR: 434 – 548 µm), the Anatomic Sampling strategy (12 subjects) achieved the best balance of computational cost and approximation of the output metrics (CPM median: 169 μm, IQR: 78 – 236 μm) (Polar Gap median: 469 μm, IQR: 448 – 537 μm). Convex Hull Sampling (41 subjects) more closely captured the output metrics (CPM median: 99 μm, IQR: 70 – 191 μm) (Polar Gap median: 456 μm, IQR: 418 - 533 μm) but required over three times the number of subjects. Volume reduction of the convex hull captured the extremes of variability with subsets of 5 to 20 subjects, while the Largest Minimum-Distance strategy captured the variability toward the middle of the cohort. These strategies can estimate the level of variability in FE model output metrics with a low computational cost when evaluating implants during the design process.
许可
CC0
引用
学术使用请引用 DOI 10.6084/m9.figshare.7273073.v1（source: https://wiley.figshare.com/articles/dataset/Dataset_for_Sampling_strategies_for_approximating_patient_variability_in_population-based_finite_element_studies_of_total_hip_replacement/7273073）。
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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