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What We Gain From Machine Learning Studies in Headache Patients.

作者信息

Messina Roberta, Filippi Massimo

机构信息

Neuroimaging Research Unit, Division of Neuroscience, Institute of Experimental Neurology, Milan, Italy.

Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.

出版信息

Front Neurol. 2020 Apr 9;11:221. doi: 10.3389/fneur.2020.00221. eCollection 2020.

DOI:10.3389/fneur.2020.00221
PMID:32328022
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7161430/
Abstract
摘要

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What We Gain From Machine Learning Studies in Headache Patients.我们从针对头痛患者的机器学习研究中获得了什么。
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Does this patient with headache have a migraine or need neuroimaging?这位头痛患者是患偏头痛了还是需要进行神经影像学检查？
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本文引用的文献

1
Global, regional, and national burden of neurological disorders, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016.全球、区域和国家神经障碍负担，1990-2016 年：2016 年全球疾病负担研究的系统分析。
Lancet Neurol. 2019 May;18(5):459-480. doi: 10.1016/S1474-4422(18)30499-X. Epub 2019 Mar 14.
2
Recent advances in headache neuroimaging.头痛神经影像学的最新进展。
Curr Opin Neurol. 2018 Aug;31(4):379-385. doi: 10.1097/WCO.0000000000000573.
3
Gray matter volume modifications in migraine: A cross-sectional and longitudinal study.偏头痛患者脑灰质体积改变的横断面及纵向研究。
Neurology. 2018 Jul 17;91(3):e280-e292. doi: 10.1212/WNL.0000000000005819. Epub 2018 Jun 20.
4
The enigma of site of action of migraine preventives: no effect of metoprolol on trigeminal pain processing in patients and healthy controls.偏头痛预防药物作用部位之谜：美托洛尔对患者和健康对照者三叉神经疼痛处理无影响。
J Headache Pain. 2017 Dec 19;18(1):116. doi: 10.1186/s10194-017-0827-x.
5
Optimal deep brain stimulation site and target connectivity for chronic cluster headache.慢性丛集性头痛的最佳脑深部刺激部位及靶点连接性
Neurology. 2017 Nov 14;89(20):2083-2091. doi: 10.1212/WNL.0000000000004646. Epub 2017 Oct 13.
6
The pathophysiology of episodic cluster headache: Insights from recent neuroimaging research.发作性丛集性头痛的病理生理学：来自最近神经影像学研究的新见解。
Cephalalgia. 2018 Apr;38(5):970-983. doi: 10.1177/0333102417716932. Epub 2017 Jul 5.
7
Migraine Subclassification via a Data-Driven Automated Approach Using Multimodality Factor Mixture Modeling of Brain Structure Measurements.通过使用脑结构测量的多模态因子混合模型的数据驱动自动方法进行偏头痛亚型分类。
Headache. 2017 Jul;57(7):1051-1064. doi: 10.1111/head.13121. Epub 2017 Jun 19.
8
An update on migraine: current understanding and future directions.偏头痛更新：当前认识与未来方向。
J Neurol. 2017 Sep;264(9):2031-2039. doi: 10.1007/s00415-017-8434-y. Epub 2017 Mar 20.
9
Building better biomarkers: brain models in translational neuroimaging.构建更好的生物标志物：转化神经影像学中的脑模型
Nat Neurosci. 2017 Feb 23;20(3):365-377. doi: 10.1038/nn.4478.
10
Pathophysiology of Migraine: A Disorder of Sensory Processing.偏头痛的病理生理学：一种感觉处理障碍
Physiol Rev. 2017 Apr;97(2):553-622. doi: 10.1152/physrev.00034.2015.