(Downloads - 0)
For more info about our services contact : help@bestpfe.com
Table of contents
Abstract
Résumé
Remerciements
Scientific production
List of Figures
List of Tables
List of Abbreviations
Introduction
1 Background
1.1 Parkinson’s disease
1.1.1 History
1.1.2 Classification
1.1.3 Pathophysiology
1.1.4 Diagnosis
1.1.5 Symptoms
1.1.6 Medications and their limitations
1.1.7 Motor complications
1.2 Impulse control disorders
1.2.1 Definition of specific impulse control disorders
1.2.2 Studies on impulse control disorders in subpopulations
1.3 Impulse control disorders in Parkinson’s disease
1.3.1 Epidemiology
1.3.2 Assessment and diagnosis
1.3.3 Associations
1.3.4 Prediction
1.3.5 Other behavioral addictions
1.4 Machine learning
1.4.1 Notations
1.4.2 Algorithms
1.4.3 Regularization
1.4.4 Metrics
1.5 Putting it all together
1.6 Materials
1.6.1 Data sets
1.6.2 Software
2 Prediction of impulse control disorders in Parkinson’s disease
2.1 Introduction
2.2 Materials and methods
2.2.1 Populations
2.2.2 Participants and clinical measurements
2.2.3 Genetic variants
2.2.4 Data processing
2.2.5 Machine learning algorithms
2.2.6 Cross-validation
2.2.7 Statistical analysis
2.3 Results
2.3.1 Population characteristics
2.3.2 Predictive performance
2.3.3 Contribution of the different features
2.4 Discussion
3 Exploratory analysis of the genetics of impulse control disorders in Parkinson’s disease using genetic risk scores
3.1 Introduction
3.2 Materials and methods
3.2.1 Populations
3.2.2 Participants
3.2.3 Genetic ancestry
3.2.4 Genotyping and quality control
3.2.5 Phenotypes and genome-wide association studies
3.2.6 Computation of genetic risk scores
3.2.7 Statistical analyses
3.3 Results
3.3.1 Participants and genetic variants
3.3.2 Genome-wide association studies
3.3.3 Association analyses
3.4 Discussion
4 Combining static and dynamic data in recurrent neural networks
4.1 Introduction
4.2 Related work
4.3 Proposed approach
4.4 Experiments
4.5 Conclusion
Conclusion
A Supplementary materials for the prediction of impulse control disorders from clinical and genetic data with replication in an independent cohort
A.1 Reduction approaches
A.2 Supplementary Tables
