Identifying Parkinson’s disease subtypes with motor and non-motor symptoms via model-based multi-partition clustering

[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 .