新生儿高胆红素血症再入院预测因素数据集
包含421名新生儿高胆红素血症再入院预测因素的人口统计学和临床特征表格数据集。
基本信息
资源简介
新生儿高胆红素血症再入院预测因素数据集
【数据集背景】
本数据集源站标题为《Comparison of demographic features.》，为 demographic features. 的组成部分。源站首次发布：2025-04-01。
【数据内容】
源站原始描述：Objective Hyperbilirubinemia is a common cause of hospital readmission among neonates, but the factors contributing to post-discharge readmission remain unclear. Our study aimed to identify predictive factors associated with readmission for neonatal hyperbilirubinemia. Methods This retrospective case-control study included 421 neonates born at ≥ 35 weeks of gestation with hyperbilirubinemia between January and December 2021. The neonates were divided into a readmission group and a control group,…
【数据结构与技术规格】
文件数 1 个，合计 5.63 KB。Table 1.xls：application/vnd.ms-excel，5.63 KB。数据集 DOI：10.1371/journal.pone.0320767.t001。
【主题与分类】
源站学科分类：Medicine、Cell Biology、Biotechnology、Developmental Biology、Mental Health、Infectious Diseases。主题标签：total serum bilirubin、013 ), although、xlink "> among、implementing robust post、elevated tsb levels、discharge monitoring may、421 neonates studied、significant predictive factors、xlink "> hyperbilirubinemia、xlink ">。
【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/Comparison_of_demographic_features_/28709309
使用许可：CC BY 4.0（https://creativecommons.org/licenses/by/4.0/）。
规范引用：Cai, Yueju; Li, Xiaolan; Wang, Ping; Song, Yanyan (2025). Comparison of demographic features.. 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：Comparison of demographic features.
- DOI：10.1371/journal.pone.0320767.t001
- 发布日期：2025-04-01
- 文件数：1 个
- 文件总体积：5.63 KB
- 源站页面：https://plos.figshare.com/articles/dataset/Comparison_of_demographic_features_/28709309
命令行下载
curl -L -o "Table 1.xls" "https://ndownloader.figshare.com/files/53360210"
文件清单
Table 1.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
Hyperbilirubinemia is a common cause of hospital readmission among neonates, but the factors contributing to post-discharge readmission remain unclear. Our study aimed to identify predictive factors associated with readmission for neonatal hyperbilirubinemia.
Methods
This retrospective case-control study included 421 neonates born at ≥ 35 weeks of gestation with hyperbilirubinemia between January and December 2021. The neonates were divided into a readmission group and a control group, and logistic regression was used to identify predictive factors associated with readmission.
Results
Among the 421 neonates studied, 32 (7.6%) were readmitted. Logistic regression analysis identified preterm birth (
Conclusions
Prolonging hospitalization and implementing robust post-discharge monitoring may be essential for neonates with prematurity, ABO hemolysis, G6PD deficiency, or elevated TSB levels at discharge.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.1371/journal.pone.0320767.t001（source: https://plos.figshare.com/articles/dataset/Comparison_of_demographic_features_/28709309）。
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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