Ensemble learning predicts multiple sclerosis disease course in the SUMMIT study
暂无分享,去创建一个
H. Weiner | R. Bakshi | Yijun Zhao | T. Chitnis | R. Bove | Mariann Polgar-Turcsanyi | M. Anderson | B. Cree | R. Henry | Tong Wang | H. Lokhande | Hrishikesh A. Lokhande
[1] B. Malomed,et al. A new form of liquid matter: Quantum droplets , 2020, Frontiers of Physics.
[2] X. Montalban,et al. SUMMIT (Serially Unified Multicenter Multiple Sclerosis Investigation): creating a repository of deeply phenotyped contemporary multiple sclerosis cohorts , 2018, Multiple sclerosis.
[3] Tie-Yan Liu,et al. LightGBM: A Highly Efficient Gradient Boosting Decision Tree , 2017, NIPS.
[4] Tianqi Chen,et al. XGBoost: A Scalable Tree Boosting System , 2016, KDD.
[5] Rushi Longadge,et al. Class Imbalance Problem in Data Mining Review , 2013, ArXiv.
[6] E. Mowry. Natural history of multiple sclerosis: early prognostic factors. , 2011, Neurologic clinics.
[7] B. Brochet. Expanded Disability Status Scale (EDSS) , 2009, Multiple Sclerosis.
[8] Carrilin C. Trecker,et al. Reduction of disease activity and disability with high-dose cyclophosphamide in patients with aggressive multiple sclerosis. , 2008, Archives of neurology.
[9] Ludwig Kappos,et al. Effect of early versus delayed interferon beta-1b treatment on disability after a first clinical event suggestive of multiple sclerosis: a 3-year follow-up analysis of the BENEFIT study , 2007, The Lancet.
[10] Susan A Gauthier,et al. A model for the comprehensive investigation of a chronic autoimmune disease: the multiple sclerosis CLIMB study. , 2006, Autoimmunity reviews.
[11] S. Vukusic,et al. Age at disability milestones in multiple sclerosis. , 2006, Brain : a journal of neurology.
[12] Rodney X. Sturdivant,et al. Applied Logistic Regression: Hosmer/Applied Logistic Regression , 2005 .
[13] P. Adeleine,et al. Early clinical predictors and progression of irreversible disability in multiple sclerosis: an amnesic process. , 2003, Brain : a journal of neurology.
[14] S. Copt,et al. Generalized Linear Models , 2001 .
[15] Thomas G. Dietterich. Multiple Classifier Systems , 2000, Lecture Notes in Computer Science.
[16] Corinna Cortes,et al. Support-Vector Networks , 1995, Machine Learning.
[17] D. Wolpert. Original Contribution: Stacked generalization , 1992 .
[18] B Bass,et al. The natural history of multiple sclerosis: a geographically based study. 2. Predictive value of the early clinical course. , 1989, Brain : a journal of neurology.
[19] B Bass,et al. The natural history of multiple sclerosis: a geographically based study. I. Clinical course and disability. , 1989, Brain : a journal of neurology.
[20] J. Ross Quinlan,et al. Induction of Decision Trees , 1986, Machine Learning.
[21] J. Kurtzke. Rating neurologic impairment in multiple sclerosis , 1983, Neurology.
[22] Stacked Generalization , 2017, Encyclopedia of Machine Learning and Data Mining.
[23] Didrik Nielsen,et al. Tree Boosting With XGBoost - Why Does XGBoost Win "Every" Machine Learning Competition? , 2016 .
[24] P. Vermersch,et al. Natural history of multiple sclerosis with childhood onset. , 2007, The New England journal of medicine.
[25] L. Breiman. Random Forests , 2001, Machine Learning.
[26] M. Amato,et al. A prospective study on the prognosis of multiple sclerosis , 2000, Neurological Sciences.
[27] Yoav Freund,et al. A Short Introduction to Boosting , 1999 .