S1文件

严肃游戏AleitaGame的开发与验证数据集,用于教育识别和处理母乳喂养时真菌感染引起的乳头乳晕病变。

Figshare
2026-03-06 更新
浏览 23
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S1_File

基本信息

模态
文本
大小
0.001484222 GB
许可
CC BY 4.0
创建/更新时间
2026-03-06
版本
v1

资源简介

S1文件

【数据集背景】

本数据集源站标题为《S1_File -》。源站首次发布:2026-03-06。

【数据内容】

源站原始描述:Background Despite the advantages, breastfeeding can be a difficult and painful process, especially due to the occurrence of nipple-areolar lesions due to fungal infection. Objective: Develop and validate a breastfeeding software program using a game to be used as an educational tool. Methodology An educational software program, the serious game “AleitaGame”, was developed through applied, methodological, quantitative and cross-sectional research. Clinical cases were constructed through a Scopin…

【数据结构与技术规格】

文件数 1 个,合计 1.48 MB。pone.0341137.s001.zip:application/zip,1.48 MB。数据集 DOI:10.1371/journal.pone.0341137.s001。

【主题与分类】

源站学科分类:Medicine、Biotechnology、Cancer、Infectious Diseases、Virology、Computational Biology。主题标签:40 scientific documents、areolar lesions resulting、areolar lesion resulting、relevant clinical parameters、clinical case presented、areolar lesions due、xlink "> despite、educational software program、breastfeeding </ p、serious game prototype。

【适用方向】

文本类数据可用于医学自然语言处理,如命名实体识别、信息抽取与文本分类。

【获取与许可】

源站页面:https://plos.figshare.com/articles/dataset/S1_File_-_p_p_/31561686

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

规范引用:de Medeiros, Lays Pinheiro; Freitas, Luana Souza; Gonçalves, Anna Alice Carmo; Bessa, Iasmin Freitas; de Oliveira e Araújo, Rhayssa; Costa, Isabelle Katherinne Fernandes (2026). S1_File - . PLOS ONE. Dataset

官方服务

专家保障全链路合规授权与标注交付

陕川双基地 × 超十家三甲医院直连

从合规授权、采集治理、专业标注到数据集交付,我们提供全链路闭环服务,让高质量临床数据即拿即用。

⚡️ 需要原始数据或标注支持?联系我们获取定制方案。

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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。

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)

命令行下载

curl -L -o "pone.0341137.s001.zip" "https://ndownloader.figshare.com/files/62487339"

文件清单

  • pone.0341137.s001.zip(1.48 MB)

文件总体积 1.48 MB(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

Background
Despite the advantages, breastfeeding can be a difficult and painful process, especially due to the occurrence of nipple-areolar lesions due to fungal infection. Objective: Develop and validate a breastfeeding software program using a game to be used as an educational tool.
Methodology
An educational software program, the serious game “AleitaGame”, was developed through applied, methodological, quantitative and cross-sectional research. Clinical cases were constructed through a Scoping Review and the media resources and content were chosen. The software, the narrative, the clinical aspects and the context were then validated by experts.
Results
The construction of the clinical case presented and the scenario of a nipple-areolar lesion resulting from a fungal infection was based on 40 scientific documents. The product was then evaluated by two groups of judges.
Conclusion
The study allowed the development and validation of the prototype of serious game on nipple-areolar lesions resulting from fungal infections. The game covers historical content, anamnesis and relevant clinical parameters, the game received good evaluation scores from the judges and it is expected that at the end the player will recognize a nipple-areolar injury, identify signs and symptoms and carry out treatment, monitoring and prevention.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0341137.s001(source: https://plos.figshare.com/articles/dataset/S1_File_-_p_p_/31561686)。

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。

⚡️ 需要数据支持或标注服务?立即联系我们获取专业方案。

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