巴西里约热内卢住院儿童和青少年登革热严重程度的预测因素

数据集获取（Figshare）

• 源站标题：Predictive factors of dengue severity in hospitalized children and adolescents in Rio de Janeiro, Brazil
• DOI：10.6084/m9.figshare.7420637.v1
• 发布日期：2018-12-05
• 文件数：4 个
• 文件总体积：981.80 KB
• 源站页面：https://scielo.figshare.com/articles/dataset/Predictive_factors_of_dengue_severity_in_hospitalized_children_and_adolescents_in_Rio_de_Janeiro_Brazil/7420637

命令行下载

curl -L -o "1678-9849-rsbmt-51-06-753-gf1.jpg" "https://ndownloader.figshare.com/files/13741862"
curl -L -o "1678-9849-rsbmt-51-06-753-gf2.jpg" "https://ndownloader.figshare.com/files/13741865"
curl -L -o "Table_1.xls" "https://ndownloader.figshare.com/files/13741871"
curl -L -o "Table_2.xls" "https://ndownloader.figshare.com/files/13741874"

文件清单

• 1678-9849-rsbmt-51-06-753-gf1.jpg（529.78 KB）
• 1678-9849-rsbmt-51-06-753-gf2.jpg（436.66 KB）
• Table_1.xls（9.73 KB）
• Table_2.xls（5.63 KB）

文件总体积 981.80 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

Abstract INTRODUCTION: Dengue is one of the most important mosquito-borne infections. Severe cases are more frequently observed in adults. However, in 2008, the State of Rio de Janeiro, Brazil, experienced a severe dengue epidemic that primarily affected children and caused many cases of dengue hemorrhagic fever (DHF) and death. METHODS: A cross-sectional analytical study was conducted to examine laboratory diagnosis and clinical epidemiologic factors for confirmed dengue cases in patients aged less than 16 years, from January to June 2008, at a municipal hospital in the City of Rio de Janeiro, Brazil. Variables associated with severe outcomes and P values less than .05 were evaluated by means of a logistic regression model. RESULTS: Of the 419 dengue cases studied, 296 were classified as DHF and 123 as classical dengue. Six patients who had DHF died. In multivariate analysis, some laboratory and clinical variables were independently associated with DHF: age 5 years or older (odds ratio [OR], 4.94; 95% confidence interval [CI], 1.30-18.71), abdominal pain (OR, 8.59; 95% CI, 3.17-23.27), hepatomegaly (OR, 15.87; 95% CI, 5.38-46.85), and positive tourniquet test (OR, 10.84; 95% CI, 3.96-29.71). Hypoalbuminemia occurred more frequently than hemoconcentration in DHF cases, and high aminotransferase levels were associated with severity. CONCLUSIONS: Age greater than 5 years, abdominal pain, painful hepatomegaly, and positive tourniquet test were predictors of DHF. The high frequency of hepatic impairment suggests that acetaminophen should be avoided in severe cases of dengue.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.7420637.v1（source: https://scielo.figshare.com/articles/dataset/Predictive_factors_of_dengue_severity_in_hospitalized_children_and_adolescents_in_Rio_de_Janeiro_Brazil/7420637）。