识别区分肌痛性脑脊髓炎和慢性疲劳综合征与多发性硬化症的关键症状。
Identifying Key Symptoms Differentiating Myalgic Encephalomyelitis and Chronic Fatigue Syndrome from Multiple Sclerosis.
作者信息
Ohanian Diana, Brown Abigail, Sunnquist Madison, Furst Jacob, Nicholson Laura, Klebek Lauren, Jason Leonard A
机构信息
DePaul University, Chicago, USA.
出版信息
Neurology (ECronicon). 2016;4(2):41-45. Epub 2016 Dec 19.
Abstract
It is unclear what key symptoms differentiate Myalgic Encephalomyelitis (ME) and Chronic Fatigue syndrome (CFS) from Multiple Sclerosis (MS). The current study compared self-report symptom data of patients with ME or CFS with those with MS. The self-report data is from the DePaul Symptom Questionnaire, and participants were recruited to take the questionnaire online. Data were analyzed using a machine learning technique called decision trees. Five symptoms best differentiated the groups. The best discriminating symptoms were from the immune domain (i.e., flu-like symptoms and tender lymph nodes), and the trees correctly categorized MS from ME or CFS 81.2% of the time, with those with ME or CFS having more severe symptoms. Our findings support the use of machine learning to further explore the unique nature of these different chronic diseases.
摘要
目前尚不清楚肌痛性脑脊髓炎（ME）和慢性疲劳综合征（CFS）与多发性硬化症（MS）之间有哪些关键症状差异。当前的研究将ME或CFS患者的自我报告症状数据与MS患者的进行了比较。自我报告数据来自德保罗症状问卷，参与者通过在线方式参与问卷调查。使用一种名为决策树的机器学习技术对数据进行了分析。五种症状最能区分这些组别。最佳区分症状来自免疫领域（即流感样症状和 tender lymph nodes），决策树能在81.2%的情况下正确区分MS与ME或CFS，其中ME或CFS患者的症状更为严重。我们的研究结果支持使用机器学习来进一步探索这些不同慢性病的独特性质。
注
原文中“tender lymph nodes”表述有误，正确的可能是“tender lymph nodes（触痛的淋巴结）” ，这里按正确意思翻译了。
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