Enhancing Clinical Cardiac Care: Predicting In-Hospital Cardiac Arrest With Machine Learning.
作者信息
Kim Sollip
机构信息
Department of Laboratory Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
出版信息
Ann Lab Med. 2025 Mar 1;45(2):117-120. doi: 10.3343/alm.2024.0696. Epub 2025 Jan 8.
Abstract
摘要
相似文献
1
Enhancing Clinical Cardiac Care: Predicting In-Hospital Cardiac Arrest With Machine Learning.加强临床心脏护理：利用机器学习预测院内心脏骤停。
Ann Lab Med. 2025 Mar 1;45(2):117-120. doi: 10.3343/alm.2024.0696. Epub 2025 Jan 8.
2
Predicting Cardiac Arrest and Respiratory Failure Using Feasible Artificial Intelligence with Simple Trajectories of Patient Data.利用具有简单患者数据轨迹的可行人工智能预测心脏骤停和呼吸衰竭。
J Clin Med. 2019 Aug 29;8(9):1336. doi: 10.3390/jcm8091336.
3
Can artificial intelligence lower the global sudden cardiac death rate? A narrative review.人工智能能降低全球心源性猝死率吗？一项叙述性综述。
J Electrocardiol. 2025 Mar-Apr;89:153882. doi: 10.1016/j.jelectrocard.2025.153882. Epub 2025 Jan 22.
4
Artificial Intelligence and Machine Learning Applications in Sudden Cardiac Arrest Prediction and Management: A Comprehensive Review.人工智能和机器学习在心脏骤停预测和管理中的应用：全面综述。
Curr Cardiol Rep. 2023 Nov;25(11):1391-1396. doi: 10.1007/s11886-023-01964-w. Epub 2023 Oct 4.
5
Machine learning as a supportive tool to recognize cardiac arrest in emergency calls.机器学习作为一种支持性工具，可用于识别紧急呼叫中心脏骤停。
Resuscitation. 2019 May;138:322-329. doi: 10.1016/j.resuscitation.2019.01.015. Epub 2019 Jan 18.
6
Comparison of Machine Learning Methods for Predicting Outcomes After In-Hospital Cardiac Arrest.机器学习方法在预测院内心脏骤停后结局中的比较。
Crit Care Med. 2022 Feb 1;50(2):e162-e172. doi: 10.1097/CCM.0000000000005286.
7
Application of Machine Learning for Patients With Cardiac Arrest: Systematic Review and Meta-Analysis.机器学习在心脏骤停患者中的应用：系统评价与荟萃分析。
J Med Internet Res. 2025 Mar 10;27:e67871. doi: 10.2196/67871.
8
External Validation and Comparison of Statistical and Machine Learning-Based Models in Predicting Outcomes Following Out-of-Hospital Cardiac Arrest: A Multicenter Retrospective Analysis.基于统计和机器学习的模型在预测院外心脏骤停后结局中的外部验证和比较：一项多中心回顾性分析。
J Am Heart Assoc. 2024 Oct 15;13(20):e037088. doi: 10.1161/JAHA.124.037088. Epub 2024 Oct 11.
9
Predicting Cardiac Arrest in Children with Heart Disease: A Novel Machine Learning Algorithm.预测患有心脏病儿童的心脏骤停：一种新型机器学习算法
J Clin Med. 2023 Apr 6;12(7):2728. doi: 10.3390/jcm12072728.
10
Prediction of neurologic outcome after out-of-hospital cardiac arrest: An interpretable approach with machine learning.院外心脏骤停后神经功能预后的预测：一种基于机器学习的可解释方法。
Resuscitation. 2024 Sep;202:110359. doi: 10.1016/j.resuscitation.2024.110359. Epub 2024 Aug 12.
本文引用的文献
1
A Machine Learning Approach for Predicting In-Hospital Cardiac Arrest Using Single-Day Vital Signs, Laboratory Test Results, and International Classification of Disease-10 Block for Diagnosis.一种使用单日生命体征、实验室检查结果和国际疾病分类第10版诊断代码来预测院内心脏骤停的机器学习方法。
Ann Lab Med. 2025 Mar 1;45(2):209-217. doi: 10.3343/alm.2024.0315. Epub 2024 Dec 13.
2
Advancing Laboratory Medicine Practice With Machine Learning: Swift yet Exact.运用机器学习推动实验室医学实践：快速而精准。
Ann Lab Med. 2025 Jan 1;45(1):22-35. doi: 10.3343/alm.2024.0354. Epub 2024 Nov 26.
3
Laboratory Data as a Potential Source of Bias in Healthcare Artificial Intelligence and Machine Learning Models.实验室数据可能成为医疗人工智能和机器学习模型的偏差来源。
Ann Lab Med. 2025 Jan 1;45(1):12-21. doi: 10.3343/alm.2024.0323. Epub 2024 Oct 24.
4
Toward High-Quality Real-World Laboratory Data in the Era of Healthcare Big Data.迈向医疗大数据时代的高质量真实世界实验室数据。
Ann Lab Med. 2025 Jan 1;45(1):1-11. doi: 10.3343/alm.2024.0258. Epub 2024 Sep 30.
5
Prediction model of in-hospital cardiac arrest using machine learning in the early phase of hospitalization.利用机器学习对住院早期院内心脏骤停进行预测建模。
Kaohsiung J Med Sci. 2024 Nov;40(11):1029-1035. doi: 10.1002/kjm2.12895. Epub 2024 Sep 25.
6
Machine Learning-Based Sample Misidentification Error Detection in Clinical Laboratory Tests: A Retrospective Multicenter Study.基于机器学习的临床实验室检验样本错误识别检测：一项回顾性多中心研究。
Clin Chem. 2024 Oct 3;70(10):1256-1267. doi: 10.1093/clinchem/hvae114.
7
Prediction of In-Hospital Cardiac Arrest in the Intensive Care Unit: Machine Learning-Based Multimodal Approach.重症监护病房内院内心脏骤停的预测：基于机器学习的多模态方法
JMIR Med Inform. 2024 Jul 23;12:e49142. doi: 10.2196/49142.
8
Customized Quality Assessment of Healthcare Data.医疗保健数据的定制质量评估
Ann Lab Med. 2024 Nov 1;44(6):472-477. doi: 10.3343/alm.2024.0084. Epub 2024 Jul 17.
9
Why Terminology Standards Matter for Data-driven Artificial Intelligence in Healthcare.为何术语标准对医疗保健领域中数据驱动的人工智能至关重要。
Ann Lab Med. 2024 Nov 1;44(6):467-471. doi: 10.3343/alm.2024.0105. Epub 2024 Jul 3.
10
Quantitative Evaluation of the Real-World Harmonization Status of Laboratory Test Items Using External Quality Assessment Data.基于室间质评数据对实验室检验项目真实世界协调化状况的定量评估。
Ann Lab Med. 2024 Nov 1;44(6):529-536. doi: 10.3343/alm.2024.0082. Epub 2024 Jun 26.
Zotero 插件