SCARS-LOGISTIC：性传播感染显著决定因素数据集

资源简介

SCARS-LOGISTIC：性传播感染显著决定因素数据集

【数据集背景】

本数据集源站标题为《Dataset - SCARS-LOGISTIC: A novel variable selection approach for binary classification model to identify the significant determinants of sexually transmitted infections》。配套论文《SCARS-LOGISTIC: A novel variable selection approach for binary classification model to identify the significant determinants of sexually transmitted infections》发表于 PLOS One（2025），DOI：10.1371/journal.pone.0324395。源站首次发布：2025-06-09。

【数据内容】

源站原始描述：Dataset - SCARS-LOGISTIC: A novel variable selection approach for binary classification model to identify the significant determinants of sexually transmitted infections

【数据结构与技术规格】

文件数 1 个，合计 96.16 KB。pone.0324395.s001.xlsx：application/vnd.openxmlformats-officedocument.spreadsheetml.sheet，96.16 KB。数据集 DOI：10.1371/journal.pone.0324395.s001。

【主题与分类】

源站学科分类：Biotechnology、Evolutionary Biology、Environmental Sciences not elsewhere classified、Ecology、Immunology、Biological Sciences not elsewhere classified。主题标签：sexually transmitted infections、bayesian information criterion、address binary response、stability competitive adaptive、proposed method outperformed、binary classification model、proposed method、higher stability、weighted sampling、squared measures。

【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/Dataset_-_SCARS-LOGISTIC_A_novel_variable_selection_approach_for_binary_classification_model_to_identify_the_significant_determinants_of_sexually_transmitted_infections/29272228

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

规范引用：Sadiq, Maryam; Alsadhan, Nasser A.; Shah, Ramla; Younas, Sidra; Rasheed, Zahid (2025). Dataset - SCARS-LOGISTIC: A novel variable selection approach for binary classification model to identify the significant determinants of sexually transmitted infections. PLOS ONE. Dataset