Predicting Abnormal Amyloid Burden: Can Machine Learning Become a Future Tool in Preventive Neurology?
作者信息
Eshaghi Arman, Buckley Rachel F
机构信息
From the Department of Neuroinflammation, UCL Queen Square Institute of Neurology (A.E.), and Centre for Medical Image Computing, Department of Computer Science (A.E.), University College London, UK; Department of Neurology (R.F.B.), Massachusetts General Hospital and Harvard Medical School; Center for Alzheimer Research and Treatment, Department of Neurology (R.F.B.), Brigham and Women's Hospital, Boston, MA; and Melbourne School of Psychological Science (R.F.B.), University of Melbourne, Victoria, Australia.
出版信息
Neurology. 2022 Jun 14;98(24):999-1000. doi: 10.1212/WNL.0000000000200721. Epub 2022 Apr 25.
PMID:35470137
Abstract
摘要
相似文献
1
Predicting Abnormal Amyloid Burden: Can Machine Learning Become a Future Tool in Preventive Neurology?预测异常淀粉样蛋白负荷：机器学习能否成为预防神经病学未来的工具？
Neurology. 2022 Jun 14;98(24):999-1000. doi: 10.1212/WNL.0000000000200721. Epub 2022 Apr 25.
2
Prospects and Challenges of Using Machine Learning for Academic Forecasting.使用机器学习进行学术预测的前景与挑战
Comput Intell Neurosci. 2022 Jun 17;2022:5624475. doi: 10.1155/2022/5624475. eCollection 2022.
3
Machine learning in neurology: what neurologists can learn from machines and vice versa.机器学习在神经科中的应用：神经科医生可以从机器中学到什么，反之亦然。
J Neurol. 2018 Nov;265(11):2745-2748. doi: 10.1007/s00415-018-8990-9. Epub 2018 Aug 2.
4
[Machine learning in predicting suicide: something for the future?].[机器学习在预测自杀方面：对未来有帮助吗？]
Tijdschr Psychiatr. 2019;61(12):835-836.
5
eDoctor: machine learning and the future of medicine.医生：机器学习与医学的未来。
J Intern Med. 2018 Dec;284(6):603-619. doi: 10.1111/joim.12822. Epub 2018 Sep 3.
6
Generalizability of an Automatic Explanation Method for Machine Learning Prediction Results on Asthma-Related Hospital Visits in Patients With Asthma: Quantitative Analysis.用于哮喘患者相关住院就诊的机器学习预测结果的自动解释方法的可推广性：定量分析。
J Med Internet Res. 2021 Apr 15;23(4):e24153. doi: 10.2196/24153.
7
Neurodegenerative disease: MRI biomarkers - a precision medicine tool in neurology?神经退行性疾病：MRI 生物标志物——神经病学中的精准医学工具？
Nat Rev Neurol. 2016 Jun;12(6):323-4. doi: 10.1038/nrneurol.2016.51. Epub 2016 Apr 15.
8
Predicting Outpatient Appointment Demand Using Machine Learning and Traditional Methods.运用机器学习和传统方法预测门诊预约需求。
J Med Syst. 2019 Jul 19;43(9):288. doi: 10.1007/s10916-019-1418-y.
9
Evaluation of standard and semantically-augmented distance metrics for neurology patients.评估标准和语义增强距离度量在神经病学患者中的应用。
BMC Med Inform Decis Mak. 2020 Aug 26;20(1):203. doi: 10.1186/s12911-020-01217-8.
10
Machine learning for predicting cardiac events: what does the future hold?用于预测心脏事件的机器学习：未来会怎样？
Expert Rev Cardiovasc Ther. 2020 Feb;18(2):77-84. doi: 10.1080/14779072.2020.1732208. Epub 2020 Feb 23.
引用本文的文献
1
Development of Simple Risk Scores for Prediction of Brain β-Amyloid and Tau Status in Older Adults With Mild Cognitive Impairment: A Machine Learning Approach.用于预测轻度认知障碍老年人脑β淀粉样蛋白和tau蛋白状态的简单风险评分的开发：一种机器学习方法。
J Gerontol B Psychol Sci Soc Sci. 2025 Jun 10;80(7). doi: 10.1093/geronb/gbaf085.
Zotero 插件