相关实验视频

Updated: Jan 15, 2026

Design of Cecal Ligation and Puncture and Intranasal Infection Dual Model of Sepsis-Induced Immunosuppression
07:30

Design of Cecal Ligation and Puncture and Intranasal Infection Dual Model of Sepsis-Induced Immunosuppression

Published on: June 15, 2019

10.5K

完善机器学习模型来预测婴儿败血症:由以人为中心的设计方法支持的多学科团队

Dean Karavite1, Lusha Cao1, Mary C Harris2,3

  • 1Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, United States.

Applied clinical informatics
|October 10, 2025
PubMed
概括

以人为中心的设计 (HCD) 方法可以通过在开发和测试期间识别异常来改进临床决策的机器学习模型. 将HCD应用于新生儿重症监护室的败血症检测模型,导致41个改善.

更多相关视频

A Controlled Mouse Model for Neonatal Polymicrobial Sepsis14:54

A Controlled Mouse Model for Neonatal Polymicrobial Sepsis

Published on: January 27, 2019

11.7K
A Data-Driven Approach to Quantifying Immune States in Sepsis07:42

A Data-Driven Approach to Quantifying Immune States in Sepsis

Published on: February 7, 2025

476

相关概念视频

Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
488