Classification of Parkinson’s disease motor phenotype: a machine learning approach

Author:

Shirahige Lívia,Leimig Brenda,Baltar Adriana,Bezerra Amanda,de Brito Caio Vinícius Ferreira,do Nascimento Yasmin Samara Oliveira,Gomes Juliana Carneiro,Teo Wei-Peng,dos Santos Wellignton Pinheiro,Cairrão Marcelo,Fonseca André,Monte-Silva Kátia

Funder

Fundação de Amparo à Ciência e Tecnologia de Pernambuco

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

Springer Science and Business Media LLC

Subject

Biological Psychiatry,Psychiatry and Mental health,Neurology (clinical),Neurology

Reference77 articles.

1. Abos A, Baggio HC, Segura B et al (2019) Differentiation of multiple system atrophy from Parkinson’s disease by structural connectivity derived from probabilistic tractography. Sci Rep 9:16488

2. Ahmed Z, Mohamed K, Zeeshan S, Dong X (2020) Artificial intelligence with multi-functional machine learning platform development for better healthcare and precision medicine. Database. https://doi.org/10.1093/database/baaa010

3. Apóstolo J (2011) Adaptation into European Portuguese of the geriatric depression scale (GDS-15). Rev Referência 3

4. Awate SP, Yushkevich P, Licht D, Gee JC (2009) Gender differences in cerebral cortical folding: multivariate complexity-shape analysis with insights into handling brain-volume differences. Med Image Comput Comput Assist Interv 12:200–207

5. Bäumer T, Dammann E, Bock F et al (2007) Laterality of interhemispheric inhibition depends on handedness. Exp Brain Res 180:195–203

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