• 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
Commentary: Automated Machine Learning Model Development for Intracranial Aneurysm Treatment Outcome Prediction: A Feasibility Study.评论:用于颅内动脉瘤治疗结果预测的自动化机器学习模型开发:一项可行性研究。
Front Neurol. 2022 Jun 10;13:878091. doi: 10.3389/fneur.2022.878091. eCollection 2022.
2
Erratum: Commentary: Automated machine learning model development for intracranial aneurysm treatment outcome prediction: A feasibility study.勘误:评论:用于颅内动脉瘤治疗结果预测的自动化机器学习模型开发:一项可行性研究。
Front Neurol. 2023 Mar 21;14:1183675. doi: 10.3389/fneur.2023.1183675. eCollection 2023.
3
Automated Machine Learning Model Development for Intracranial Aneurysm Treatment Outcome Prediction: A Feasibility Study.用于颅内动脉瘤治疗结果预测的自动化机器学习模型开发:一项可行性研究。
Front Neurol. 2021 Nov 29;12:735142. doi: 10.3389/fneur.2021.735142. eCollection 2021.
4
Testing the applicability and performance of Auto ML for potential applications in diagnostic neuroradiology.测试 Auto ML 在诊断神经放射学中的潜在应用的适用性和性能。
Sci Rep. 2022 Aug 11;12(1):13648. doi: 10.1038/s41598-022-18028-8.
5
Using Automated Machine Learning to Predict the Mortality of Patients With COVID-19: Prediction Model Development Study.利用自动化机器学习预测 COVID-19 患者的死亡率:预测模型开发研究。
J Med Internet Res. 2021 Feb 26;23(2):e23458. doi: 10.2196/23458.
6
Prediction and analysis of periprocedural complications associated with endovascular treatment for unruptured intracranial aneurysms using machine learning.使用机器学习对未破裂颅内动脉瘤血管内治疗相关围手术期并发症进行预测与分析。
Front Neurol. 2022 Oct 12;13:1027557. doi: 10.3389/fneur.2022.1027557. eCollection 2022.
7
A Bibliometric Analysis and Benchmark of Machine Learning and AutoML in Crash Severity Prediction: The Case Study of Three Colombian Cities.基于机器学习和 AutoML 的事故严重程度预测的文献计量分析与基准研究:以哥伦比亚三个城市为例
Sensors (Basel). 2021 Dec 16;21(24):8401. doi: 10.3390/s21248401.
8
Human behavior in image-based Road Health Inspection Systems despite the emerging AutoML.尽管出现了自动化机器学习,但基于图像的道路健康检测系统中的人类行为。
J Big Data. 2022;9(1):96. doi: 10.1186/s40537-022-00646-8. Epub 2022 Jul 20.
9
Automated machine learning: Review of the state-of-the-art and opportunities for healthcare.自动化机器学习:最新技术综述及医疗保健领域的机遇
Artif Intell Med. 2020 Apr;104:101822. doi: 10.1016/j.artmed.2020.101822. Epub 2020 Feb 21.
10
Machine Learning Models for Slope Stability Classification of Circular Mode Failure: An Updated Database and Automated Machine Learning (AutoML) Approach.机器学习模型在圆形破坏模式边坡稳定性分类中的应用:一个更新的数据库和自动化机器学习(AutoML)方法。
Sensors (Basel). 2022 Nov 25;22(23):9166. doi: 10.3390/s22239166.

本文引用的文献

1
Machine Learning for Outcome Prediction in First-Line Surgery of Prolactinomas.机器学习在催乳素腺瘤一线手术结局预测中的应用。
Front Endocrinol (Lausanne). 2022 Feb 16;13:810219. doi: 10.3389/fendo.2022.810219. eCollection 2022.
2
Automated Machine Learning Model Development for Intracranial Aneurysm Treatment Outcome Prediction: A Feasibility Study.用于颅内动脉瘤治疗结果预测的自动化机器学习模型开发:一项可行性研究。
Front Neurol. 2021 Nov 29;12:735142. doi: 10.3389/fneur.2021.735142. eCollection 2021.
3
Immediate post-operative aneurysm occlusion after endovascular treatment of intracranial aneurysms with coiling or balloon-assisted coiling in a prospective multicenter cohort of 1189 patients: Analysis of Recanalization after Endovascular Treatment of intracranial Aneurysm (ARETA) Study.1189 例颅内动脉瘤血管内治疗(弹簧圈或球囊辅助弹簧圈)后即刻动脉瘤闭塞的前瞻性多中心队列研究:颅内动脉瘤血管内治疗后再通分析(ARETA 研究)。
J Neurointerv Surg. 2021 Oct;13(10):918-923. doi: 10.1136/neurintsurg-2020-017012. Epub 2020 Dec 21.
4
Five-year results of randomized bioactive versus bare metal coils in the treatment of intracranial aneurysms: the Matrix and Platinum Science (MAPS) Trial.颅内动脉瘤治疗中生物活性与裸金属线圈的随机对照 5 年结果:Matrix 和 Platinum Science(MAPS)试验。
J Neurointerv Surg. 2021 Oct;13(10):930-934. doi: 10.1136/neurintsurg-2020-016906. Epub 2020 Dec 9.
5
Recommendations for Reporting Machine Learning Analyses in Clinical Research.机器学习分析在临床研究中的报告建议。
Circ Cardiovasc Qual Outcomes. 2020 Oct;13(10):e006556. doi: 10.1161/CIRCOUTCOMES.120.006556. Epub 2020 Oct 14.
6
Minimum information about clinical artificial intelligence modeling: the MI-CLAIM checklist.临床人工智能建模的最低信息要求:MI-CLAIM清单
Nat Med. 2020 Sep;26(9):1320-1324. doi: 10.1038/s41591-020-1041-y.
7
Calibration: the Achilles heel of predictive analytics.校准:预测分析的阿喀琉斯之踵。
BMC Med. 2019 Dec 16;17(1):230. doi: 10.1186/s12916-019-1466-7.
8
Machine learning probability calibration for high-risk clinical decision-making.用于高风险临床决策的机器学习概率校准
Aust N Z J Psychiatry. 2020 Feb;54(2):123-126. doi: 10.1177/0004867419885448. Epub 2019 Nov 9.
9
Is 3 years adequate for tracking completely occluded coiled aneurysms?3年时间对于追踪完全闭塞的盘绕状动脉瘤是否足够?
J Neurosurg. 2019 Aug 16;133(3):758-764. doi: 10.3171/2019.5.JNS183651. Print 2020 Sep 1.
10
Long-term outcomes of coil embolization of unruptured intracranial aneurysms.未破裂颅内动脉瘤线圈栓塞的长期结果。
J Neurosurg. 2018 Dec 1;129(6):1492-1498. doi: 10.3171/2017.6.JNS17174. Epub 2018 Jan 5.

Commentary: Automated Machine Learning Model Development for Intracranial Aneurysm Treatment Outcome Prediction: A Feasibility Study.

作者信息

Huber Markus, Luedi Markus M, Andereggen Lukas

机构信息

Department of Anaesthesiology and Pain Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.

Department of Neurosurgery, Kantonsspital Aarau, Aarau, Switzerland.

出版信息

Front Neurol. 2022 Jun 10;13:878091. doi: 10.3389/fneur.2022.878091. eCollection 2022.

DOI:10.3389/fneur.2022.878091
PMID:35756931
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9226472/
Abstract
摘要