Identification and prediction of Parkinson’s disease subtypes and progression using machine learning in two cohorts
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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2373-8057
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
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online resource.
- Bibliographic citation
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Identification and prediction of Parkinson’s disease subtypes and progression using machine learning in two cohorts ; volume:8 ; number:1 ; day:16 ; month:12 ; year:2022 ; pages:1-12 ; date:12.2022
npj Parkinson's Disease ; 8, Heft 1 (16.12.2022), 1-12, 12.2022
- Creator
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Dadu, Anant
Satone, Vipul
Kaur, Rachneet
Hashemi, Sayed Hadi
Leonard, Hampton
Iwaki, Hirotaka
Makarious, Mary B.
Billingsley, Kimberley J.
Bandres‐Ciga, Sara
Sargent, Lana J.
Noyce, Alastair J.
Daneshmand, Ali
Blauwendraat, Cornelis
Marek, Ken
Scholz, Sonja W.
Singleton, Andrew B.
Nalls, Mike A.
Campbell, Roy H.
Faghri, Faraz
- Contributor
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SpringerLink (Online service)
- DOI
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10.1038/s41531-022-00439-z
- URN
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urn:nbn:de:101:1-2023022721142217646069
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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14.08.2025, 10:48 AM CEST
Data provider
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Associated
- Dadu, Anant
- Satone, Vipul
- Kaur, Rachneet
- Hashemi, Sayed Hadi
- Leonard, Hampton
- Iwaki, Hirotaka
- Makarious, Mary B.
- Billingsley, Kimberley J.
- Bandres‐Ciga, Sara
- Sargent, Lana J.
- Noyce, Alastair J.
- Daneshmand, Ali
- Blauwendraat, Cornelis
- Marek, Ken
- Scholz, Sonja W.
- Singleton, Andrew B.
- Nalls, Mike A.
- Campbell, Roy H.
- Faghri, Faraz
- SpringerLink (Online service)
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Progression subtypes in Parkinson’s disease identified by a data-driven multi cohort analysis
Cortical and subcortical morphological alterations in motor subtypes of Parkinson’s disease
MRI subtypes in Parkinson’s disease across diverse populations and clustering approaches
Study protocol of the DUtch PARkinson Cohort (DUPARC): a prospective, observational study of de novo Parkinson’s disease patients for the identification and validation of biomarkers for Parkinson’s disease subtypes, progression and pathophysiology
Prevention of progression in Parkinson’s disease
Gut microbiota helps identify clinical subtypes of Parkinson’s disease
Initiation and progression of α-synuclein pathology in Parkinson’s disease
Autonomic function and motor subtypes in Parkinson’s disease: a multicentre cross-sectional study
Cerebro-cerebellar motor networks in clinical subtypes of Parkinson’s disease
Disease progression strikingly differs in research and real-world Parkinson’s populations
Genome-wide determinants of mortality and motor progression in Parkinson’s disease
Disease progression in proposed brain-first and body-first Parkinson’s disease subtypes
Progression subtypes in Parkinson’s disease identified by a data-driven multi cohort analysis
Cortical and subcortical morphological alterations in motor subtypes of Parkinson’s disease
MRI subtypes in Parkinson’s disease across diverse populations and clustering approaches
Study protocol of the DUtch PARkinson Cohort (DUPARC): a prospective, observational study of de novo Parkinson’s disease patients for the identification and validation of biomarkers for Parkinson’s disease subtypes, progression and pathophysiology
Prevention of progression in Parkinson’s disease
Gut microbiota helps identify clinical subtypes of Parkinson’s disease
Initiation and progression of α-synuclein pathology in Parkinson’s disease
Autonomic function and motor subtypes in Parkinson’s disease: a multicentre cross-sectional study
Cerebro-cerebellar motor networks in clinical subtypes of Parkinson’s disease
Disease progression strikingly differs in research and real-world Parkinson’s populations