Machine learning analysis of metabolomics and neuro-imaging data for Parkinson’s disease

GLAAB, Enrico

Scientific presentation in universities or research centers (Scientific presentations in universities or research centers)

GLAAB, Enrico

2019

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https://hdl.handle.net/10993/39695

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Keywords :

Parkinson's disease; metabolomics; neuroimaging; machine learning; statistics; diagnosis; modeling; prediction; analysis

Research center :

- Luxembourg Centre for Systems Biomedicine (LCSB): Biomedical Data Science (Glaab Group)

Disciplines :

Biotechnology
Human health sciences: Multidisciplinary, general & others
Life sciences: Multidisciplinary, general & others
Neurology

Author, co-author :

GLAAB, Enrico ; University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB)

Language :

English

Title :

Machine learning analysis of metabolomics and neuro-imaging data for Parkinson’s disease

Publication date :

January 2019

Event name :

PD-Strat meeting

Event organizer :

University of Tuebingen

Event place :

Tuebingen, Germany

Event date :

17-01-2019

Audience :

International

Focus Area :

Systems Biomedicine
Computational Sciences

FnR Project :

FNR11651464 - Multi-dimensional Stratification Of Parkinson'S Disease Patients For Personalised Interventions, 2017 (01/07/2018-30/06/2021) - Enrico Glaab

Name of the research project :

FNR11651464 > Enrico Glaab > PD-Strat > 01/06/2018 > 31/05/2021 > 2018

Funders :

FNR - Fonds National de la Recherche

Available on ORBilu :

since 18 June 2019

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