Poisson regression
老年髋部骨折患者术前并发症相关因素的Poisson回归分析数据集，包含432例临床表格数据。
基本信息
资源简介
Poisson regression
【数据集背景】
本数据集源站标题为《Poisson regression.》。源站首次发布：2024-11-04。
【数据内容】
源站原始描述：Objectives To determine the clinical, laboratory, and hospital factors associated with preoperative complications in older adults with hip fractures. Methodology Analytical observational retrospective cohort study, whose population was older adults with a diagnosis of hip fracture treated in a hospital in northern Peru, during 2017–2019. Results 432 patients with a median age of 83 years (RIC: 77–88) were evaluated, with the female gender being the most prevalent (60.9%). The most common comorbi…
【数据结构与技术规格】
文件数 1 个，合计 5.63 KB。Table 3.xls：application/vnd.ms-excel，5.63 KB。数据集 DOI：10.1371/journal.pone.0313089.t003。
【主题与分类】
源站学科分类：Medicine、Cell Biology、Genetics、Neuroscience、Biotechnology、Evolutionary Biology。主题标签：urinary tract infections、overall mortality rate、hip fracture treated、77 &# 8211、7 &# 8211、2017 &# 8211、clinically irrelevant association、minimally significant association、peruvian older adults、hospital factors associated。
【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/Poisson_regression_/27607270
使用许可：CC BY 4.0（https://creativecommons.org/licenses/by/4.0/）。
规范引用：Aguirre-Milachay, Edwin; León-Figueroa, Darwin A.; Valladares-Garrido, Mario J. (2024). Poisson regression.. PLOS ONE. Dataset
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：Poisson regression.
- DOI：10.1371/journal.pone.0313089.t003
- 发布日期：2024-11-04
- 文件数：1 个
- 文件总体积：5.63 KB
- 源站页面：https://plos.figshare.com/articles/dataset/Poisson_regression_/27607270
命令行下载
curl -L -o "Table 3.xls" "https://ndownloader.figshare.com/files/50199097"
文件清单
Table 3.xls（5.63 KB）
文件总体积 5.63 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
Objectives
To determine the clinical, laboratory, and hospital factors associated with preoperative complications in older adults with hip fractures.
Methodology
Analytical observational retrospective cohort study, whose population was older adults with a diagnosis of hip fracture treated in a hospital in northern Peru, during 2017–2019.
Results
432 patients with a median age of 83 years (RIC: 77–88) were evaluated, with the female gender being the most prevalent (60.9%). The most common comorbidities included cardiovascular disease (68%) and diabetes (17.6%), and multimorbidity was observed in 47.2% of cases. The median number of geriatric syndromes was 2 (RIC: 1–5). The overall mortality rate was 3.2% (1.7–5.3). Analysis with the Poisson regression model found a significant association with MRC scale 3–5 degree (RR = 1.60), glucose on admission (RR = 1.01), and minimally significantly female sex (RR = 2.41).
Conclusions
The most commonly observed complications were infectious in nature, including pneumonia, sepsis, and urinary tract infections. The MRC scale from 3 to 5 degrees increases the risk of developing a preoperative complication; the glucose levels upon admission show a clinically irrelevant association; and in females, there is a minimally significant association in older adults with hip fractures.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.1371/journal.pone.0313089.t003（source: https://plos.figshare.com/articles/dataset/Poisson_regression_/27607270）。
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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