优化早产儿呼吸窘迫综合征治疗中的镇静剂剂量

数据集获取（Figshare）

• 源站标题：Optimizing Sedative Dose in Preterm Infants Undergoing Treatment for Respiratory Distress Syndrome
• DOI：10.6084/m9.figshare.7429601.v1
• 发布日期：2018-12-06
• 文件数：2 个
• 文件总体积：304.78 KB
• 源站页面：https://tandf.figshare.com/articles/dataset/Optimizing_Sedative_Dose_in_Preterm_Infants_Undergoing_Treatment_for_Respiratory_Distress_Syndrome/7429601

命令行下载

curl -L -o "Figure1_rev.pdf" "https://ndownloader.figshare.com/files/13756466"
curl -L -o "supplement.pdf" "https://ndownloader.figshare.com/files/13756469"

文件清单

• Figure1_rev.pdf（7.52 KB）
• supplement.pdf（297.27 KB）

文件总体积 304.78 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

The intubation-surfactant-extubation (INSURE) procedure is used worldwide to treat preterm newborn infants suffering from respiratory distress syndrome, which is caused by an insufficient amount of the chemical surfactant in the lungs. With INSURE, the infant is intubated, surfactant is administered via the tube to the trachea, and at completion the infant is extubated. This improves the infant’s ability to breathe and thus decreases the risk of long-term neurological or motor disabilities. To perform the intubation safely, the newborn infant first must be sedated. Despite extensive experience with INSURE, there is no consensus on what sedative dose is best. This article describes a Bayesian sequentially adaptive design for a multi-institution clinical trial to optimize the sedative dose given to preterm infants undergoing the INSURE procedure. The design is based on three clinical outcomes, two efficacy and one adverse, using elicited numerical utilities of the eight possible elementary outcomes. A flexible Bayesian parametric trivariate dose-outcome model is assumed, with the prior derived from elicited mean outcome probabilities. Doses are chosen adaptively for successive cohorts of infants using posterior mean utilities, subject to safety and efficacy constraints. A computer simulation study of the design is presented. Supplementary materials for this article are available online.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.7429601.v1（source: https://tandf.figshare.com/articles/dataset/Optimizing_Sedative_Dose_in_Preterm_Infants_Undergoing_Treatment_for_Respiratory_Distress_Syndrome/7429601）。