Ranking the Predictive Power of Clinical and Biological Features Associated With Disease Progression in Huntington's Disease.

Ghazaleh, Naghmeh; Houghton, Richard; Palermo, Giuseppe; Schobel, Scott A; Wijeratne, Peter A; Long, Jeffrey D

Ghazaleh, Naghmeh; Houghton, Richard; Palermo, Giuseppe; Schobel, Scott A; Wijeratne, Peter A; Long, Jeffrey D.

Afiliación

Ghazaleh N; F. Hoffmann-La Roche Ltd., Basel, Switzerland.
Houghton R; F. Hoffmann-La Roche Ltd., Basel, Switzerland.
Palermo G; F. Hoffmann-La Roche Ltd., Basel, Switzerland.
Schobel SA; F. Hoffmann-La Roche Ltd., Basel, Switzerland.
Wijeratne PA; Department of Computer Science, Centre for Medical Imaging Computing, University College London, London, United Kingdom.
Long JD; Department of Neurodegenerative Disease, Huntington's Disease Research Centre, Queen Square Institute of Neurology, University College London, London, United Kingdom.

Front Neurol ; 12: 678484, 2021.

Article en En | MEDLINE | ID: mdl-34093422

Palabras clave

Huntington's disease; disease progression; machine learning; prognostic variables; random forest

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Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Neurol Año: 2021 Tipo del documento: Article

Texto completo

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PubMed Links

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Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Neurol Año: 2021 Tipo del documento: Article