相关实验视频

Updated: Jul 27, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

7.5K

机器学习模型与预测恶化的国家预警分数系统相比:阿拉伯联合长国的回顾性队列研究

Hazem Lashen1, Terrence Lee St John2, Y Zaki Almallah2

  • 1Engineering Division, New York University Abu Dhabi, Abu Dhabi, United Arab Emirates.

JMIR AI
|June 14, 2024
PubMed
概括

与阿联的传统早期预警分数相比,机器学习模型显著提高了对患者病情恶化的预测. 对于更好的临床决策和患者的治疗结果,建议采用特定队列模型.

关键词:
临床情况恶化.队列 队列 队列 队列恶化的恶化.早期预警的早期警告.预警分数系统的早期预警分数系统.机器学习是机器学习.神经网络的神经网络的神经网络预测 预测 预测 预测现实世界的数据数据.评分系统 评分系统

更多相关视频

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack07:31

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

7.1K
Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

6.8K

相关概念视频

Survival Tree01:19

Survival Tree

Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
 Building a Survival Tree
Constructing a survival tree begins...