Clustering and prediction of disease progression trajectories in Huntington's disease: An analysis of Enroll-HD data using a machine learning approach.

Ko, Jinnie; Furby, Hannah; Ma, Xiaoye; Long, Jeffrey D; Lu, Xiao-Yu; Slowiejko, Diana; Gandhy, Rita

Ko, Jinnie; Furby, Hannah; Ma, Xiaoye; Long, Jeffrey D; Lu, Xiao-Yu; Slowiejko, Diana; Gandhy, Rita.

Afiliação

Ko J; Genentech Inc., South San Francisco, CA, United States.
Furby H; Roche Products Ltd., Welwyn Garden City, United Kingdom.
Ma X; Genentech Inc., South San Francisco, CA, United States.
Long JD; University of Iowa Health Care, Iowa City, IA, United States.
Lu XY; Genentech Inc., South San Francisco, CA, United States.
Slowiejko D; Genentech Inc., South San Francisco, CA, United States.
Gandhy R; Genentech Inc., South San Francisco, CA, United States.

Front Neurol ; 13: 1034269, 2022.

Article em En | MEDLINE | ID: mdl-36793800

Palavras-chave

Huntington's disease; clustering; machine learning; prediction; trajectory

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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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