使用移动技术管理儿童疾病的新算法(ALMANACH):坦桑尼亚临床结局与抗生素使用的对照非劣效性研究

坦桑尼亚评估移动技术儿童疾病管理算法ALMANACH的对照非劣效性研究,分析临床结局与抗生素使用。

NIAID Data Ecosystem
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表格practiceimciALMANACHTanzania IntroductionThe declinedecision chart.Trial RegistrationPanPACTRD 7Managing Childhood Illness
New Algorithm for Managing Childhood Illness Using Mobile Technology (ALMANACH): A Controlled Non-Inferiority Study on Clinical Outcome and Antibiotic Use in Tanzania

基本信息

模态
表格
大小
0.003464427 GB
许可
CC BY 4.0
创建/更新时间
2026-10-10
版本
v1

资源简介

使用移动技术管理儿童疾病的新算法(ALMANACH):坦桑尼亚临床结局与抗生素使用的对照非劣效性研究

【一句话概览】

本数据集是 figshare 公开的结构化表格数据集,收录 5 个文件、合计 3.46 MB,主题涵盖 practice、imci、ALMANACH、Tanzania IntroductionThe decline、decision chart.Trial RegistrationPan,可用于统计建模、特征工程与队列分析,CC BY 4.0 许可开放获取。

【数据集背景】

本数据集源站标题为《New Algorithm for Managing Childhood Illness Using Mobile Technology (ALMANACH): A Controlled Non-Inferiority Study on Clinical Outcome and Antibiotic Use in Tanzania》。配套论文《New Algorithm for Managing Childhood Illness Using Mobile Technology (ALMANACH): A Controlled Non-Inferiority Study on Clinical Outcome and Antibiotic Use in Tanzania》发表于 PLOS ONE(2015),DOI:10.1371/journal.pone.0132316。源站首次发布:2015-07-10。

【数据内容】

源站原始描述:Introduction The decline of malaria and scale-up of rapid diagnostic tests calls for a revision of IMCI. A new algorithm (ALMANACH) running on mobile technology was developed based on the latest evidence. The objective was to ensure that ALMANACH was safe, while keeping a low rate of antibiotic prescription. Methods Consecutive children aged 2–59 months with acute illness were managed using ALMANACH (2 intervention facilities), or standard practice (2 control facilities) in Tanzania. Primary out…

【数据结构与技术规格】

文件数 5 个,合计 3.46 MB。S1_File.pdf:application/pdf,1.64 MB。S2_File.pdf:application/pdf,382.20 KB。S3_File.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document,19.00 KB。数据集 DOI:10.1371/journal.pone.0132316。

【主题与分类】

源站学科分类:Biological Sciences。主题标签:practice、imci、ALMANACH、Tanzania IntroductionThe decline、decision chart.Trial RegistrationPan、PACTR、D 7、Managing Childhood Illness。

【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/_New_Algorithm_for_Managing_Childhood_Illness_Using_Mobile_Technology_ALMANACH_A_Controlled_Non_Inferiority_Study_on_Clinical_Outcome_and_Antibiotic_Use_in_Tanzania_/1479193

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

规范引用:Flexson Shao, Amani; Rambaud-Althaus, Clotilde; Samaka, Josephine; Festo Faustine, Allen; Perri-Moore, Seneca; Swai, Ndeniria; et al. (2016). New Algorithm for Managing Childhood Illness Using Mobile Technology (ALMANACH): A Controlled Non-Inferiority Study on Clinical Outcome and Antibiotic Use in…

【使用注意】

· 源站最后修改于 2023-06-03,引用时请注意版本时效。

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 "S1_File.pdf" "https://ndownloader.figshare.com/files/2170446"
curl -L -o "S2_File.pdf" "https://ndownloader.figshare.com/files/2170447"
curl -L -o "S3_File.docx" "https://ndownloader.figshare.com/files/2170448"
curl -L -o "S4_File.pdf" "https://ndownloader.figshare.com/files/2170449"
curl -L -o "S5_File.pdf" "https://ndownloader.figshare.com/files/2170450"

文件清单

  • S1_File.pdf(1.64 MB)
  • S2_File.pdf(382.20 KB)
  • S3_File.docx(19.00 KB)
  • S4_File.pdf(692.39 KB)
  • S5_File.pdf(729.52 KB)

文件总体积 3.46 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

Introduction
The decline of malaria and scale-up of rapid diagnostic tests calls for a revision of IMCI. A new algorithm (ALMANACH) running on mobile technology was developed based on the latest evidence. The objective was to ensure that ALMANACH was safe, while keeping a low rate of antibiotic prescription.
Methods
Consecutive children aged 2–59 months with acute illness were managed using ALMANACH (2 intervention facilities), or standard practice (2 control facilities) in Tanzania. Primary outcomes were proportion of children cured at day 7 and who received antibiotics on day 0.
Results
130/842 (15∙4%) in ALMANACH and 241/623 (38∙7%) in control arm were diagnosed with an infection in need for antibiotic, while 3∙8% and 9∙6% had malaria. 815/838 (97∙3%;96∙1–98.4%) were cured at D7 using ALMANACH versus 573/623 (92∙0%;89∙8–94∙1%) using standard practice (pConclusion
Management of children using ALMANACH improve clinical outcome and reduce antibiotic prescription by 80%. This was achieved through more accurate diagnoses and hence better identification of children in need of antibiotic treatment or not. The building on mobile technology allows easy access and rapid update of the decision chart.
Trial Registration
Pan African Clinical Trials Registry PACTR201011000262218

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0132316(source: https://plos.figshare.com/articles/dataset/_New_Algorithm_for_Managing_Childhood_Illness_Using_Mobile_Technology_ALMANACH_A_Controlled_Non_Inferiority_Study_on_Clinical_Outcome_and_Antibiotic_Use_in_Tanzania_/1479193)。

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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