用于分类的逻辑回归模型

该数据集涉及印度2型糖尿病患者使用10g单丝筛查糖尿病周围神经病变的研究,并包含分类用逻辑回归模型。

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Logistic regression model for classification.

基本信息

模态
其他
大小
0.000005632 GB
许可
CC BY 4.0
创建/更新时间
2026-10-17
版本
v1

资源简介

用于分类的逻辑回归模型

【一句话概览】

本数据集是 figshare 公开数据集,收录 1 个文件、合计 5.63 KB,主题涵盖 receiver operating characteristic、probabilistic purposive sampling、diabetic peripheral neuropathy、agriculture &# 8221、agriculture vs non,源站分类为 Biochemistry、Molecular Biology、Biotechnology、Biological Sciences not elsewhere classified,CC BY 4.0 许可开放获取。

【数据集背景】

本数据集源站标题为《Logistic regression model for classification.》。源站首次发布:2024-02-23。

【数据内容】

源站原始描述:Objective The purpose of this study was to test the diagnostic accuracy of the 10g monofilament to screen for diabetic peripheral neuropathy (DPN) in India. The study further assessed the effect of physical activity, footwear use, and occupation on the outcome. Methods Non-probabilistic purposive sampling was used to recruit patients with T2DM to assess the diagnostic utility of the 10 g monofilament. 160 participants were recruited divided into 4 groups. Each group consisted of 40 participants…

【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.0297110.t003。

【主题与分类】

源站学科分类:Biochemistry、Molecular Biology、Biotechnology、Biological Sciences not elsewhere classified、Science Policy、Infectious Diseases。主题标签:receiver operating characteristic、probabilistic purposive sampling、diabetic peripheral neuropathy、agriculture &# 8221、agriculture vs non、10 g monofilament、04 ), footwear、identifying dpn using、home &# 8221、&# 8220。

【适用方向】

源站学科分类标注为 Biochemistry、Molecular Biology、Biotechnology、Biological Sciences not elsewhere classified、Science Policy、Infectious Diseases。

【获取与许可】

源站页面:https://plos.figshare.com/articles/dataset/Logistic_regression_model_for_classification_/25281423

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

规范引用:Hazari, Animesh; Mishra, Vinaytosh; Kumar, Praveen; Maiya, Arun (2024). Logistic regression model for classification.. PLOS ONE. Dataset

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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 3.xls" "https://ndownloader.figshare.com/files/44666136"

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

Objective
The purpose of this study was to test the diagnostic accuracy of the 10g monofilament to screen for diabetic peripheral neuropathy (DPN) in India. The study further assessed the effect of physical activity, footwear use, and occupation on the outcome.
Methods
Non-probabilistic purposive sampling was used to recruit patients with T2DM to assess the diagnostic utility of the 10 g monofilament. 160 participants were recruited divided into 4 groups. Each group consisted of 40 participants with 20 under each category described as “Physical Worker Vs Non- physical worker” (n = 40), “Barefoot Vs Footwear” (n = 40), “Use of Slipper at Home Vs No-slippers use at home” (n = 40), “Agriculture Vs Non- agriculture” (n = 40). 10 g monofilament was used to detect the presence of protective sensation towards screening of DPN against biothesiometer (Vibration Pressure Threshold).
Results
The area under the ROC (receiver operating characteristic) curve was 0.6 for identifying DPN using the 10 g monofilament. Physical work (p = 0.04), footwear (p = 0.04), slipper use at home (p = 0.02) and occupation (p = 0.02) impacted on the diagnostic utility of the 10g monofilament.
Conclusions
This study shows that the 10 g monofilament has limited accuracy for detecting DPN in the Indian population and this is further affected by occupation, socioeconomic and religious practice.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0297110.t003(source: https://plos.figshare.com/articles/dataset/Logistic_regression_model_for_classification_/25281423)。

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