Machine Learning and Statistical Models for the Prevalence of Multiple Sclerosis
暂无分享,去创建一个
Rommel G. Regis | Elizabeth Bloom | Nicholas Mandarano | R. Regis | Elizabeth Bloom | Nicholas Mandarano
[1] R. Lucas,et al. MS Sunshine Study: Sun Exposure But Not Vitamin D Is Associated with Multiple Sclerosis Risk in Blacks and Hispanics , 2018, Nutrients.
[2] S. Broadley,et al. Sun Exposure across the Life Course Significantly Modulates Early Multiple Sclerosis Clinical Course , 2018, Front. Neurol..
[3] Michelle L Degelman,et al. Smoking and multiple sclerosis: A systematic review and meta-analysis using the Bradford Hill criteria for causation. , 2017, Multiple sclerosis and related disorders.
[4] N. Timpson,et al. Obesity and Multiple Sclerosis: A Mendelian Randomization Study , 2016, PLoS medicine.
[5] L. Blizzard,et al. Latitude is significantly associated with the prevalence of multiple sclerosis: a meta-analysis , 2011, Journal of Neurology, Neurosurgery & Psychiatry.
[6] G. Ebers. Environmental factors and multiple sclerosis , 2008, The Lancet Neurology.
[7] Edward Aboufadel,et al. A New Method for Computing the Mean Center of Population of the United States , 2006 .
[8] Bernhard Schölkopf,et al. A tutorial on support vector regression , 2004, Stat. Comput..
[9] W. Willett,et al. Vitamin D intake and incidence of multiple sclerosis , 2004, Neurology.
[10] Vladimir N. Vapnik,et al. The Nature of Statistical Learning Theory , 2000, Statistics for Engineering and Information Science.
[11] Tin Kam Ho,et al. The Random Subspace Method for Constructing Decision Forests , 1998, IEEE Trans. Pattern Anal. Mach. Intell..