相关实验视频

Updated: Jun 13, 2025

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

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

Published on: January 11, 2020

基于机器学习的早期预警系统对患者病情恶化的临床评估

Amol A Verma¹, Therese A Stukel², Michael Colacci²

¹St. Michael's Hospital (Verma, Colacci, Bell, Ailon, Friedrich, Kuzulugil, Yang, Lee, Pou-Prom, Mamdani), Unity Health Toronto; Department of Medicine (Verma, Colacci, Ailon, Friedrich, Lee, Mamdani), and Institute of Health Policy, Management, and Evaluation (Verma, Stukel, Colacci, Murray, Mamdani), and Department of Laboratory Medicine and Pathobiology (Verma, Mamdani), University of Toronto; ICES Central (Stukel); Leslie Dan Faculty of Pharmacy (Mamdani), University of Toronto, Toronto, Ont. amol.verma@mail.utoronto.ca.

CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne

|September 16, 2024

概括

机器学习预警系统 (EWS) 减少了一般内科病房的患者死亡. 这种实时系统有望改善医院的临床结果和患者安全.

科学领域:

医疗保健技术技术医疗保健技术
临床信息学临床信息学
预测分析是一种预测分析.

背景情况:

基于ML的EWS对患者病情恶化的实施和临床影响尚未得到充分描述.
研究集中在一个学术医疗中心的一般内科 (GIM) 单位的多方面的,实时的基于ML的EWS上.

研究的目的:

描述基于ML的新型EWS的实施和评估.
评估ML-EWS与临床结果之间的关联,特别是非息性住院死亡.

主要方法:

使用基于倾向分数的重叠权重的非随机对照研究.
在干预期间 (2020年11月至2022年6月) 与干预前 (2016年11月至2020年6月) 的GIM单位患者进行了比较.
差异分析将GIM与未接受干预的子专业单位 (心脏病学,呼吸学,科) 进行了比较.

主要成果:

包括13,649个GIM招生和8,470个子专业招生.
在干预期间,非息性死亡减少了GIM (1.6%对2.1%,aRR 0.74).
具有警报的高风险GIM患者的死亡率较低 (7.1%与10.3%,aRR为0.69).

结论:

在GIM部门实施基于ML的EWS与非息性死亡风险降低有关.
基于ML的EWS代表了增强医院环境中临床结果的有希望的技术.

更多相关视频

Design and Analysis for Fall Detection System Simplification

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

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

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

Published on: August 16, 2020

相关概念视频

Pulse rhythm

Pulse rhythm

Pulse rhythm refers to the pattern of pulsations within specific intervals, offering valuable insights into the regularity or irregularity of the heart's beats as observed through the pattern of pulsation within specific intervals. A regular pulse exhibits a consistent heart rate with uniform waveforms and pulsation force, variations of which can be classified as normal, weak, or bounding.
Conversely, an irregular pulse pattern is termed dysrhythmia, stemming from disruptions in cardiac...

Documentation of Nursing Diagnosis

Documentation of Nursing Diagnosis

The nurse documents nursing diagnoses and enters them into the patient record. The identified patient's nursing diagnosis is either written out with a plan of care or entered into the electronic health record.
In some settings, data-driven computerized decision support systems are in place, allowing for more accurate nursing diagnoses. The database within one of these systems includes diagnostic labels defining characteristics, activities, and indicators for nursing. A nurse enters...