It is unclear what key symptoms differentiate Myalgic Encephalomyelitis (ME) and Chronic Fatigue syndrome (CFS) from Multiple Sclerosis<\/a> (MS).<\/p>\n 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.<\/p>\n Data were analyzed using a machine learning<\/a> technique called decision trees<\/a>.<\/p>\n 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.<\/p>\n Our findings support the use of machine learning to further explore the unique nature of these different chronic diseases.<\/p>\n Identifying Key Symptoms Differentiating Myalgic Encephalomyelitis and Chronic Fatigue Syndrome from Multiple Sclerosis<\/a>, by Diana Ohanian, Abigail Brown, Madison Sunnquist, Jacob Furst, Laura Nicholson, Lauren Klebek and Leonard A Jason in<\/span>\u00a0EC Neurology<\/em> 4.1 (2016): 41-45.\u00a0 [Published: December 19, 2016]<\/p>\n","protected":false},"excerpt":{"rendered":" Research 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 … Continue reading