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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
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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.

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.

DOI:10.3343/alm.2024.0696
PMID:39774133
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11788704/
Abstract
摘要