Identifying Protective Drugs for Parkinson's Disease in Health‐Care Databases Using Machine Learning-Reference-Cited by-同舟云学术

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Identifying Protective Drugs for Parkinson's Disease in Health‐Care Databases Using Machine Learning

Published:2022-08-29 Issue:12 Volume:37 Page:2376-2385
ISSN:0885-3185
Container-title:Movement Disorders
language:en
Short-container-title:Movement Disorders

Author:

Courtois Émeline¹^ORCID,Nguyen Thi Thu Ha²^ORCID,Fournier Agnès²^ORCID,Carcaillon‐Bentata Laure³^ORCID,Moutengou Élodie³^ORCID,Escolano Sylvie¹^ORCID,Tubert‐Bitter Pascale¹^ORCID,Elbaz Alexis²^ORCID,Thiébaut Anne C.M.¹^ORCID,Ahmed Ismaïl¹^ORCID

Affiliation:

1. High‐Dimensional Biostatistics for Drug Safety and Genomics Université Paris‐Saclay, UVSQ, Inserm, CESP Villejuif France

2. Exposome, Heredity, Cancer and Health Université Paris‐Saclay, UVSQ, Inserm, CESP Villejuif France

3. Santé publique France Saint Maurice France

Funder

The Michael J. Fox Foundation

Publisher

Wiley

Subject

Neurology (clinical),Neurology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mds.29205

Reference43 articles.

1. Global, regional, and national burden of neurological disorders during 1990–2015: a systematic analysis for the Global Burden of Disease Study 2015

2. Global, regional, and national burden of Parkinson's disease, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016

3. Projections of prevalence, lifetime risk, and life expectancy of Parkinson's disease (2010-2030) in France

4. Mortality in Parkinson's disease: A systematic review and meta‐analysis

5. The current and projected economic burden of Parkinson's disease in the United States

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5. β2-Adrenoceptor Agonists in Asthma or Chronic Obstructive Pulmonary Disease and Risk of Parkinson’s Disease: Nested Case-Control Study;Clinical Epidemiology;2023-06

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