Correction: Machine learning for predicting neurodegenerative diseases in the general older population: a cohort study

Gloria A Aguayo¹, Lu Zhang², Michel Vaillant³, Moses Ngari^{3

4}, Magali Perquin⁵, Valerie Moran^{5

6}, Laetitia Huiart⁵, Rejko Krüger^{7

8

9}, Francisco Azuaje^{2

10}, Cyril Ferdynus¹¹, Guy Fagherazzi¹²

Affiliations

¹ Deep Digital Phenotyping Research Unit, Department of Precision Health, Luxembourg Institute of Health, Strassen, Luxembourg. gloria.aguayo@lih.lu.
² Bioinformatics Platform, Luxembourg Institute of Health, Strassen, Luxembourg.
³ CompetenceCenter for Methodology and Statistics, Translational Medicine Operations Hub, Luxembourg Institute of Health, Strassen, Luxembourg.
⁴ KEMRI/ Wellcome Trust Research Programme, Kilifi, Kenya.
⁵ Department of Precision Health, Luxembourg Institute of Health, Strassen, Luxembourg.
⁶ Living Conditions Department, Luxembourg Institute of Socio-Economic Research, Esch-Sur-Alzette, Luxembourg.
⁷ LCSB, Luxembourg Centre for System Biomedicine, University of Luxembourg, Esch-Sur-Alzette, Luxembourg.
⁸ Parkinson Research Clinic, Centre Hospitalier de Luxembourg, Luxembourg, Luxembourg.
⁹ Transversal Translational Medicine, Luxembourg Institute of Health, Strassen, Luxembourg.
¹⁰ Genomics England, London, UK.
¹¹ Methodological Support Unit, Félix Guyon University Hospital Center, Saint-Denis, La Réunion, France.
¹² Deep Digital Phenotyping Research Unit, Department of Precision Health, Luxembourg Institute of Health, Strassen, Luxembourg.

Published Erratum

Gloria A Aguayo et al. BMC Med Res Methodol. 2023.

. 2023 Jan 31;23(1):32.

doi: 10.1186/s12874-023-01854-3.

¹ Deep Digital Phenotyping Research Unit, Department of Precision Health, Luxembourg Institute of Health, Strassen, Luxembourg. gloria.aguayo@lih.lu.
² Bioinformatics Platform, Luxembourg Institute of Health, Strassen, Luxembourg.
³ CompetenceCenter for Methodology and Statistics, Translational Medicine Operations Hub, Luxembourg Institute of Health, Strassen, Luxembourg.
⁴ KEMRI/ Wellcome Trust Research Programme, Kilifi, Kenya.
⁵ Department of Precision Health, Luxembourg Institute of Health, Strassen, Luxembourg.
⁶ Living Conditions Department, Luxembourg Institute of Socio-Economic Research, Esch-Sur-Alzette, Luxembourg.
⁷ LCSB, Luxembourg Centre for System Biomedicine, University of Luxembourg, Esch-Sur-Alzette, Luxembourg.
⁸ Parkinson Research Clinic, Centre Hospitalier de Luxembourg, Luxembourg, Luxembourg.
⁹ Transversal Translational Medicine, Luxembourg Institute of Health, Strassen, Luxembourg.
¹⁰ Genomics England, London, UK.
¹¹ Methodological Support Unit, Félix Guyon University Hospital Center, Saint-Denis, La Réunion, France.
¹² Deep Digital Phenotyping Research Unit, Department of Precision Health, Luxembourg Institute of Health, Strassen, Luxembourg.

No abstract available

Erratum for

Machine learning for predicting neurodegenerative diseases in the general older population: a cohort study.
Aguayo GA, Zhang L, Vaillant M, Ngari M, Perquin M, Moran V, Huiart L, Krüger R, Azuaje F, Ferdynus C, Fagherazzi G. Aguayo GA, et al. BMC Med Res Methodol. 2023 Jan 11;23(1):8. doi: 10.1186/s12874-023-01837-4. BMC Med Res Methodol. 2023. PMID: 36631766 Free PMC article.

1. Aguayo GA, Zhang L, Vaillant M, et al. Machine learning for predicting neurodegenerative diseases in the general older population: a cohort study. BMC Medical Research Methodology. 2023;23:8. doi: 10.1186/s12874-023-01837-4. - DOI - PMC - PubMed