Identifying Parkinson’s disease subtypes with motor and non-motor symptoms via model-based multi-partition clustering
暂无分享,去创建一个
P. Larrañaga | K. Chaudhuri | P. Martínez-Martín | A. Schrag | D. Weintraub | C. Rodríguez-Blázquez | A. Rizos | Fernando Rodriguez-Sanchez | C. Bielza
[1] Matthew Willetts,et al. Multi-Facet Clustering Variational Autoencoders , 2021, NeurIPS.
[2] D. Aarsland,et al. Constipation is Associated with Development of Cognitive Impairment in de novo Parkinson's Disease: A Longitudinal Analysis of Two International Cohorts. , 2021, Journal of Parkinson's disease.
[3] K. Dujardin,et al. Parkinson’s Disease Subtypes: Critical Appraisal and Recommendations , 2021, Journal of Parkinson's disease.
[4] D. Bowers,et al. Co-occurrence of apathy and impulse control disorders in Parkinson disease , 2020, Neurology.
[5] A. Pisani,et al. A Dual Centre Study of Pain in Parkinson's Disease and Its Relationship with Other Non-Motor Symptoms. , 2020, Journal of Parkinson's disease.
[6] K. Chaudhuri,et al. Therapy of Parkinson’s Disease Subtypes , 2020, Neurotherapeutics.
[7] K. Chaudhuri,et al. Factor Analysis and Clustering of the Movement Disorder Society–Non‐Motor Rating Scale , 2020, Movement disorders : official journal of the Movement Disorder Society.
[8] M. Okun,et al. Diagnosis and Treatment of Parkinson Disease: A Review. , 2020, JAMA.
[9] Carmen Rodriguez-Blazquez,et al. The Movement Disorder Society Nonmotor Rating Scale: Initial Validation Study , 2020, Movement disorders : official journal of the Movement Disorder Society.
[10] D. Ffytche,et al. Drug and Disease Effects in Parkinson's Psychosis: Revisiting the Role of Dopamine , 2019, Movement disorders clinical practice.
[11] Elizabeth Qian,et al. Subtyping of Parkinson’s Disease - Where Are We Up To? , 2019, Aging and disease.
[12] Concha Bielza,et al. Tractable learning of Bayesian networks from partially observed data , 2019, Pattern Recognit..
[13] Fabio Stella,et al. A survey on Bayesian network structure learning from data , 2019, Progress in Artificial Intelligence.
[14] Feng Li,et al. Hyposmia as a Predictive Marker of Parkinson's Disease: A Systematic Review and Meta-Analysis , 2019, BioMed research international.
[15] E. Gatto,et al. Impulse Control Disorders in Parkinson's Disease. A Brief and Comprehensive Review , 2019, Front. Neurol..
[16] P. Martínez-Martín,et al. Exploring hyperhidrosis and related thermoregulatory symptoms as a possible clinical identifier for the dysautonomic subtype of Parkinson’s disease , 2019, Journal of Neurology.
[17] P. Calabresi,et al. Levodopa‐induced dyskinesia in Parkinson disease: Current and evolving concepts , 2018, Annals of neurology.
[18] R. Barker,et al. The clinical heterogeneity of Parkinson's disease and its therapeutic implications , 2018, The European journal of neuroscience.
[19] A. Tessitore,et al. Fatigue in Parkinson's disease: A systematic review and meta‐analysis , 2018, Movement disorders : official journal of the Movement Disorder Society.
[20] Rafael Rumí,et al. A Review of Inference Algorithms for Hybrid Bayesian Networks , 2018, J. Artif. Intell. Res..
[21] Xiaopeng Li,et al. Learning Latent Superstructures in Variational Autoencoders for Deep Multidimensional Clustering , 2018, ICLR.
[22] Jose-Alberto Palma,et al. Treatment of autonomic dysfunction in Parkinson disease and other synucleinopathies , 2018, Movement disorders : official journal of the Movement Disorder Society.
[23] Kai Ma,et al. Weight Loss and Malnutrition in Patients with Parkinson's Disease: Current Knowledge and Future Prospects , 2018, Front. Aging Neurosci..
[24] M. Delgado-Rodríguez,et al. Systematic review and meta-analysis. , 2017, Medicina intensiva.
[25] C. Bielza,et al. Parkinson's Disease Subtypes Identified from Cluster Analysis of Motor and Non-motor Symptoms , 2017, Front. Aging Neurosci..
[26] K. Chaudhuri,et al. Non-motor features of Parkinson disease , 2017, Nature Reviews Neuroscience.
[27] S. Fereshtehnejad,et al. Subtypes of Parkinson’s Disease: What Do They Tell Us About Disease Progression? , 2017, Current Neurology and Neuroscience Reports.
[28] D. Ffytche,et al. The psychosis spectrum in Parkinson disease , 2017, Nature Reviews Neurology.
[29] A. Batla,et al. Nocturia in Parkinson's Disease: Why Does It Occur and How to Manage? , 2016, Movement disorders clinical practice.
[30] M. T. Pellecchia,et al. Clinical clusters and dopaminergic dysfunction in de-novo Parkinson disease. , 2016, Parkinsonism & related disorders.
[31] M. Merello,et al. Motor features in Parkinson's disease with normal olfactory function , 2016, Movement disorders : official journal of the Movement Disorder Society.
[32] E. Demir,et al. The association between symptoms of sexual dysfunction and age at onset in Parkinson’s disease , 2016, Clinical Autonomic Research.
[33] N. Bohnen,et al. Is normosmic Parkinson disease a unique clinical phenotype? , 2016, Neurology.
[34] A. Lang,et al. Fatigue in Parkinson’s disease: report from a mutidisciplinary symposium , 2016, npj Parkinson's Disease.
[35] David M. Blei,et al. Variational Inference: A Review for Statisticians , 2016, ArXiv.
[36] C. Marras. Subtypes of Parkinson's disease: state of the field and future directions. , 2015, Current opinion in neurology.
[37] P. Chan,et al. Heterogeneity among patients with Parkinson's disease: Cluster analysis and genetic association , 2015, Journal of the Neurological Sciences.
[38] Mark Stacy,et al. Clinical spectrum of impulse control disorders in Parkinson's disease , 2015, Movement disorders : official journal of the Movement Disorder Society.
[39] L. Defebvre,et al. Apathy in untreated early‐stage Parkinson disease: Relationship with other non‐motor symptoms , 2014, Movement disorders : official journal of the Movement Disorder Society.
[40] A. Tessitore,et al. Prevalence of fatigue in Parkinson disease and its clinical correlates , 2014, Neurology.
[41] J. Jankovic,et al. Parkinson disease subtypes. , 2014, JAMA neurology.
[42] J. Jankovic,et al. How to identify tremor dominant and postural instability/gait difficulty groups with the movement disorder society unified Parkinson's disease rating scale: Comparison with the unified Parkinson's disease rating scale , 2013, Movement disorders : official journal of the Movement Disorder Society.
[43] Constantine Frangakis,et al. Multiple imputation by chained equations: what is it and how does it work? , 2011, International journal of methods in psychiatric research.
[44] J. Marinus,et al. Clinical subtypes of Parkinson's disease , 2011, Movement disorders : official journal of the Movement Disorder Society.
[45] C. Clarke,et al. Systematic review of levodopa dose equivalency reporting in Parkinson's disease , 2010, Movement disorders : official journal of the Movement Disorder Society.
[46] Johan Kwisthout,et al. The Necessity of Bounded Treewidth for Efficient Inference in Bayesian Networks , 2010, ECAI.
[47] Duc Truong Pham,et al. Unsupervised training of Bayesian networks for data clustering , 2009, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences.
[48] Nir Friedman,et al. Probabilistic Graphical Models - Principles and Techniques , 2009 .
[49] J. Jankovic,et al. Movement Disorder Society‐sponsored revision of the Unified Parkinson's Disease Rating Scale (MDS‐UPDRS): Scale presentation and clinimetric testing results , 2008, Movement disorders : official journal of the Movement Disorder Society.
[50] P. Deb. Finite Mixture Models , 2008 .
[51] Radford M. Neal. Pattern Recognition and Machine Learning , 2007, Technometrics.
[52] Charles M. Bishop,et al. Variational Message Passing , 2005, J. Mach. Learn. Res..
[53] Matthew J. Beal,et al. The variational Bayesian EM algorithm for incomplete data: with application to scoring graphical model structures , 2003 .
[54] Uri Lerner,et al. Inference in Hybrid Networks: Theoretical Limits and Practical Algorithms , 2001, UAI.
[55] Hagai Attias,et al. A Variational Bayesian Framework for Graphical Models , 1999 .
[56] Nir Friedman,et al. Learning Belief Networks in the Presence of Missing Values and Hidden Variables , 1997, ICML.
[57] Y Mizuno,et al. [Clinical subtypes of Parkinson's disease]. , 1993, No to shinkei = Brain and nerve.
[58] Judea Pearl,et al. Probabilistic reasoning in intelligent systems - networks of plausible inference , 1991, Morgan Kaufmann series in representation and reasoning.
[59] N. Wermuth,et al. Graphical Models for Associations between Variables, some of which are Qualitative and some Quantitative , 1989 .
[60] A. D. Gordon. A Review of Hierarchical Classification , 1987 .
[61] G. Casella. An Introduction to Empirical Bayes Data Analysis , 1985 .
[62] Judea Pearl,et al. A Computational Model for Causal and Diagnostic Reasoning in Inference Systems , 1983, IJCAI.
[63] G. Schwarz. Estimating the Dimension of a Model , 1978 .
[64] D. Rubin,et al. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .
[65] H. Akaike. A new look at the statistical model identification , 1974 .
[66] W. K. Hastings,et al. Monte Carlo Sampling Methods Using Markov Chains and Their Applications , 1970 .
[67] M. Hoehn,et al. Parkinsonism , 1967, Neurology.
[68] M. Girard. [Therapy of Parkinson's disease]. , 1952, Journal de medecine de Lyon.
[69] Concha Bielza,et al. Incremental Learning of Latent Forests , 2020, IEEE Access.
[70] Giuliano Galimberti,et al. Modelling the role of variables in model-based cluster analysis , 2018, Stat. Comput..
[71] J. Zarranz,et al. Motor and non-motor symptoms of Parkinson's disease and their impact on quality of life and on different clinical subgroups. , 2016, Neurologia.
[72] K. Chaudhuri,et al. Non motor subtypes and Parkinson's disease. , 2016, Parkinsonism & related disorders.
[73] Tengfei Liu,et al. Model-based clustering of high-dimensional data: Variable selection versus facet determination , 2013, Int. J. Approx. Reason..
[74] David Heckerman,et al. Learning Bayesian Networks: Search Methods and Experimental Results , 1995 .
[75] Robert C. Wolpert,et al. A Review of the , 1985 .
[76] J. MacQueen. Some methods for classification and analysis of multivariate observations , 1967 .