• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利：CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法，用中文像聊天一样搜索，搜遍4000万医学文献。AI智能推荐，让科研检索更轻松。

立即免费搜索

文件翻译

保留排版，准确专业，支持PDF/Word/PPT等文件格式，支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述，25分钟生成高质量综述，智能提取关键信息，辅助科研写作。

立即免费体验

相似文献

1
Machine Learning Modeling for American Society of Anesthesiologists Physical Status Classification Assignment in Children.用于儿童美国麻醉医师协会身体状况分类赋值的机器学习建模
Anesth Analg. 2025 Apr 1;140(4):e48-e49. doi: 10.1213/ANE.0000000000007429. Epub 2025 Jan 30.
2
American society of anesthesiologists physical status classification significantly affects the performances of machine learning models in intraoperative hypotension inference.美国麻醉医师协会的身体状况分类对术中低血压推断的机器学习模型的性能有显著影响。
J Clin Anesth. 2024 Feb;92:111309. doi: 10.1016/j.jclinane.2023.111309. Epub 2023 Nov 2.
3
Large language models in anaesthesiology: use of ChatGPT for American Society of Anesthesiologists physical status classification.麻醉学中的大语言模型：使用ChatGPT进行美国麻醉医师协会身体状况分类
Br J Anaesth. 2023 Sep;131(3):e73-e75. doi: 10.1016/j.bja.2023.06.052. Epub 2023 Jul 18.
4
Interrater Variability among Anaesthesiologists Using American Society of Anesthesiologists Physical Status Classification System.麻醉医生使用美国麻醉医师协会身体状况分类系统时的评分者间变异性
J Nepal Health Res Counc. 2024 Mar 31;21(4):543-549. doi: 10.33314/jnhrc.v21i4.4542.
5
The Assignment of American Society of Anesthesiologists Physical Status Classification for Adult Polytrauma Patients: Results From a Survey and Future Considerations.美国麻醉医师协会成年多发伤患者身体状况分类的赋值：一项调查结果及未来考量
Anesth Analg. 2017 Dec;125(6):1960-1966. doi: 10.1213/ANE.0000000000002450.
6
Assessing the Utility of a Machine-Learning Model to Assist With the Assignment of the American Society of Anesthesiology Physical Status Classification in Pediatric Patients.评估机器学习模型在协助美国麻醉医师协会体格状况分类在儿科患者中的应用。
Anesth Analg. 2024 Nov 1;139(5):1017-1026. doi: 10.1213/ANE.0000000000006761. Epub 2023 Dec 13.
7
Machine Learning Algorithm to Perform the American Society of Anesthesiologists Physical Status Classification.用于执行美国麻醉医师协会身体状况分类的机器学习算法。
Cureus. 2023 Oct 16;15(10):e47155. doi: 10.7759/cureus.47155. eCollection 2023 Oct.
8
One Size Does Not Fit All: A Perspective on the American Society of Anesthesiologists Physical Status Classification for Pediatric Patients.一刀切并不适用：美国麻醉医师协会小儿患者身体状况分类的观点。
Anesth Analg. 2020 Jun;130(6):1685-1692. doi: 10.1213/ANE.0000000000004277.
9
Adding Examples to the ASA-Physical Status Classification Improves Correct Assignment to Patients.在ASA身体状况分类中增加示例可改善对患者的正确分类。
Anesthesiology. 2017 Apr;126(4):614-622. doi: 10.1097/ALN.0000000000001541.
10
Machine Learning Model for Anesthetic Risk Stratification for Gynecologic and Obstetric Patients: Cross-Sectional Study Outlining a Novel Approach for Early Detection.用于妇产科患者麻醉风险分层的机器学习模型：概述早期检测新方法的横断面研究
JMIR Form Res. 2024 Aug 21;8:e54097. doi: 10.2196/54097.

本文引用的文献

1
Large Language Model Capabilities in Perioperative Risk Prediction and Prognostication.大语言模型在围手术期风险预测和预后中的应用。
JAMA Surg. 2024 Aug 1;159(8):928-937. doi: 10.1001/jamasurg.2024.1621.
2
Assessing the Utility of a Machine-Learning Model to Assist With the Assignment of the American Society of Anesthesiology Physical Status Classification in Pediatric Patients.评估机器学习模型在协助美国麻醉医师协会体格状况分类在儿科患者中的应用。
Anesth Analg. 2024 Nov 1;139(5):1017-1026. doi: 10.1213/ANE.0000000000006761. Epub 2023 Dec 13.
3
Prediction of Complications and Prognostication in Perioperative Medicine: A Systematic Review and PROBAST Assessment of Machine Learning Tools.围手术期医学并发症预测和预后评估：机器学习工具的系统评价和 PROBAST 评估。
Anesthesiology. 2024 Jan 1;140(1):85-101. doi: 10.1097/ALN.0000000000004764.
4
Prediction of American Society of Anesthesiologists Physical Status Classification from preoperative clinical text narratives using natural language processing.使用自然语言处理技术从术前临床文本叙述中预测美国麻醉医师协会身体状况分类。
BMC Anesthesiol. 2023 Sep 4;23(1):296. doi: 10.1186/s12871-023-02248-0.
5
The impact of AI suggestions on radiologists' decisions: a pilot study of explainability and attitudinal priming interventions in mammography examination.人工智能建议对放射科医生决策的影响：一项关于在乳房 X 光检查中可解释性和态度启动干预的试点研究。
Sci Rep. 2023 Jun 7;13(1):9230. doi: 10.1038/s41598-023-36435-3.

Machine Learning Modeling for American Society of Anesthesiologists Physical Status Classification Assignment in Children.

作者信息

Lonsdale Hannah, Eagle Susan S, Freundlich Robert E

机构信息

Department of Anesthesiology, Division of Pediatric Anesthesiology, Vanderbilt University Medical Center, Nashville, Tennessee,

Department of Anesthesiology, Vanderbilt University Medical Center, Nashville, Tennessee.

出版信息

Anesth Analg. 2025 Apr 1;140(4):e48-e49. doi: 10.1213/ANE.0000000000007429. Epub 2025 Jan 30.

DOI:10.1213/ANE.0000000000007429
PMID:39883588
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12043420/
Abstract
摘要