Machine Learning-Based Prediction of Impulse Control Disorders in Parkinson’s Disease From Clinical and Genetic Data-Reference-Cited by-同舟云学术

Machine Learning-Based Prediction of Impulse Control Disorders in Parkinson’s Disease From Clinical and Genetic Data

Published:2022 Issue: Volume:3 Page:96-107
ISSN:2644-1276
Container-title:IEEE Open Journal of Engineering in Medicine and Biology
language:
Short-container-title:IEEE Open J. Eng. Med. Biol.

Author:

Faouzi Johann¹^ORCID,Bekadar Samir²,Artaud Fanny³^ORCID,Elbaz Alexis³^ORCID,Mangone Graziella²,Colliot Olivier¹^ORCID,Corvol Jean-Christophe²^ORCID

Affiliation:

1. Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, CNRS, Inria, Inserm, AP-HP, Hôpital de la Pitié Salpêtriére, Paris, France

2. Department of Neurology, Paris Brain Institute, Inserm, CNRS, Sorbonne Université, Assistance Publique Hôpitaux de Paris, Centre d’Investigation Clinique Neurosciences, Hôpital Pitié-Salpêtrière, Paris, France

3. Université Paris-Saclay, UVSQ, Université Paris-Sud, Inserm, Gustave Roussy, Équipe “Exposome et Hérédité”, CESP, Villejuif, France

Funder

Program Investissements d’avenir

French Government

Agence Nationale de la Recherche

Investissements d’avenir Program

ERA-Net – ERACoSysMed Program

ICM Big Brain Theory Program

Inria Project Lab Program

European Union H2020 Programme

Michael J. Fox Foundation for Parkinson's Research

Assistance Publique Hôpitaux de Paris

French Ministry of Health

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering

Link

http://xplorestaging.ieee.org/ielx7/8782705/9698118/09783181.pdf?arnumber=9783181

Reference57 articles.

1. Data Structures for Statistical Computing in Python

2. Second-generation PLINK: rising to the challenge of larger and richer datasets

3. Questionnaire for impulsive-compulsive disorders in Parkinson's Disease-Rating Scale

4. The Parkinson Progression Marker Initiative (PPMI)

5. Cross-Validation Approaches for Replicability in Psychology

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