巴西自闭症及其他发育障碍早期诊断数据集(2013-2019)

本数据集包含2013-2019年巴西22,483名儿童的门诊记录,用于分析自闭症及发育障碍早期诊断的影响因素。

Figshare
2023-04-01 更新
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表格Autism Spectrum DisorderEpidemiologyChild Development DisordersPervasiveEarly DiagnosisAnalytical EpidemiologyPsychosocial Support SystemsUnified Health System
Early diagnosis of autism and other developmental disorders, Brazil, 2013–2019

基本信息

模态
表格
大小
0.023415804 GB
许可
CC BY 4.0
创建/更新时间
2023-04-01
版本
v1

资源简介

巴西自闭症及其他发育障碍早期诊断数据集(2013-2019)

【数据集背景】

本数据集源站标题为《Early diagnosis of autism and other developmental disorders, Brazil, 2013–2019》。配套论文《Diagnóstico precoce do autismo e outros transtornos do desenvolvimento, Brasil, 2013–2019》发表于 Revista de Saúde Pública(2023),DOI:10.11606/s1518-8787.2023057004710。源站首次发布:2023-04-15。

【数据内容】

源站原始描述:ABSTRACT OBJECTIVE To investigate the factors associated with the early diagnosis of autism and other types of pervasive developmental disorder (PDD) in children treated at the Psychosocial Care Center for Children and Adolescents of the Unified Health System, from 2013 to 2019,in Brazil. METHODS An exploratory cross-sectional study, based on data from the Record of Outpatient Health Actions (RAAS) of the first appointment of children aged 1 to 12 years. The gross (RRg) and adjusted (RRa) relati…

【数据结构与技术规格】

文件数 18 个,合计 23.42 MB。数据集 DOI:10.6084/m9.figshare.22638698.v1。

【主题与分类】

源站学科分类:Sociology、Environmental and Occupational Health and Safety。主题标签:Autism Spectrum Disorder、Epidemiology、Child Development Disorders, Pervasive、Early Diagnosis、Analytical Epidemiology、Psychosocial Support Systems、Unified Health System。

【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://scielo.figshare.com/articles/dataset/Early_diagnosis_of_autism_and_other_developmental_disorders_Brazil_2013_2019/22638698

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

规范引用:Girianelli, Vania Reis; Tomazelli, Jeane; Silva, Cosme Marcelo Furtado Passos da; Fernandes, Conceição Santos (2023). Early diagnosis of autism and other developmental disorders, Brazil, 2013–2019. SciELO journals. Dataset

【使用注意】

· 源站最后修改于 2023-05-31,引用时请注意版本时效。

官方服务

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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 "7e874c366d704a77683dd59d4d3b07602b535536.tif" "https://ndownloader.figshare.com/files/40176470"
curl -L -o "eb2976b472417be615f7ccd986702569b46b18b8.png" "https://ndownloader.figshare.com/files/40176473"
curl -L -o "c281c564b9fbe8532e9be70af181861d115e0d16.jpg" "https://ndownloader.figshare.com/files/40176476"
curl -L -o "48bfdca87719f5465a53f2cae8d3c03304a84700.tif" "https://ndownloader.figshare.com/files/40176479"
curl -L -o "a1390f4820bd5e13ac42877a99edd7192ad0148f.png" "https://ndownloader.figshare.com/files/40176482"
curl -L -o "894939179ea2a9cdfdca620d7157970d325e8281.jpg" "https://ndownloader.figshare.com/files/40176485"
curl -L -o "66bf263e6b519ea991d4206aab4cc3df1e4b59d7.tif" "https://ndownloader.figshare.com/files/40176488"
curl -L -o "fbc7a4fa8327dda8a1abeaef3a14c491e779216f.png" "https://ndownloader.figshare.com/files/40176491"

文件清单

  • 7e874c366d704a77683dd59d4d3b07602b535536.tif(6.81 MB)
  • eb2976b472417be615f7ccd986702569b46b18b8.png(378.98 KB)
  • c281c564b9fbe8532e9be70af181861d115e0d16.jpg(5.33 KB)
  • 48bfdca87719f5465a53f2cae8d3c03304a84700.tif(4.04 MB)
  • a1390f4820bd5e13ac42877a99edd7192ad0148f.png(384.64 KB)
  • 894939179ea2a9cdfdca620d7157970d325e8281.jpg(6.09 KB)
  • 66bf263e6b519ea991d4206aab4cc3df1e4b59d7.tif(6.90 MB)
  • fbc7a4fa8327dda8a1abeaef3a14c491e779216f.png(390.06 KB)
  • 19023186d24aa60799ae0a7e3c3c1de444326959.jpg(5.34 KB)
  • 468783ec4f320a11dbd2b6b6ebe83fcd844becf7.tif(4.04 MB)
  • 0307259de3db24b757ca5f05f75d8efa9ddd6ffd.png(388.05 KB)
  • 06681b1a8e9eb202ba8e2e9b4025c766e7b197d3.jpg(6.20 KB)
  • Table_1.xls(13.82 KB)
  • Table_2.xls(13.82 KB)
  • Table_3.xls(9.73 KB)
  • Table_4.xls(13.82 KB)
  • Table_5.xls(13.82 KB)
  • Table_6.xls(9.73 KB)

文件总体积 23.42 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

ABSTRACT OBJECTIVE To investigate the factors associated with the early diagnosis of autism and other types of pervasive developmental disorder (PDD) in children treated at the Psychosocial Care Center for Children and Adolescents of the Unified Health System, from 2013 to 2019,in Brazil. METHODS An exploratory cross-sectional study, based on data from the Record of Outpatient Health Actions (RAAS) of the first appointment of children aged 1 to 12 years. The gross (RRg) and adjusted (RRa) relative risks and respective 95% confidence intervals (95%CI) were estimated using the Poisson regression model with robust variance estimation. RESULTS Of the 22,483 children included in the study, the majority were male (81.9%), lived in the same municipality where they were diagnosed (96.8%) and in the Southeast region (57.7%). Early diagnosis was higher for childhood autism (RRg = 1.48; 95%CI 1.27–1.71) , PDD without subtype designation (RRg = 1.55; 95%CI 1.34–1.80), other PDD (RRg = 1.48; 95%CI 1.21–1.81) and PDD not otherwise specified (RRg = 1.44; 95%CI 1.22–1.69) than for atypical autism. Children residing in the same municipality where the diagnosis was made had a higher rate of early diagnosis (RRg = 1.31; 95%CI 1.10–1.55) than the others; as well as those referred by primary care (RRg = 1.51; 95%CI 1.37–1.68) and by spontaneous demand (RRg = 1.45; 95%CI 1.31–1.61) than those from other types of referral. Early diagnosis was higher from 2014 and lower in the North region than in the other regions. In the multiple analysis, the magnitude of RRa was similar to that of RRg. CONCLUSIONS Early identification of autism and other PDD has improved in Brazil, but it still represents about 30% of the diagnoses made. The variables included in the model were significant, but still explain little of the early diagnosis of children with autism and other PDD.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.22638698.v1(source: https://scielo.figshare.com/articles/dataset/Early_diagnosis_of_autism_and_other_developmental_disorders_Brazil_2013_2019/22638698)。

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