Multi-modality machine learning predicting Parkinson’s disease

Personalized medicine promises individualized disease prediction and treatment. The convergence of machine learning (ML) and available multimodal data is key moving forward. We build upon previous work to deliver multimodal predictions of Parkinson’s disease (PD) risk and systematically develop a mo...

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Detalles Bibliográficos
Autores principales: Makarious, Mary B., Leonard, Hampton L., Vitale, Dan, Iwaki, Hirotaka, Sargent, Lana, Dadu, Anant, Violich, Ivo, Hutchins, Elizabeth, Saffo, David, Bandres-Ciga, Sara, Kim, Jonggeol Jeff, Song, Yeajin, Maleknia, Melina, Bookman, Matt, Nojopranoto, Willy, Campbell, Roy H., Hashemi, Sayed Hadi, Botia, Juan A., Carter, John F., Craig, David W., Van Keuren-Jensen, Kendall, Morris, Huw R., Hardy, John A., Blauwendraat, Cornelis, Singleton, Andrew B., Faghri, Faraz, Nalls, Mike A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8975993/
https://www.ncbi.nlm.nih.gov/pubmed/35365675
http://dx.doi.org/10.1038/s41531-022-00288-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8975993/
https://www.ncbi.nlm.nih.gov/pubmed/35365675
http://dx.doi.org/10.1038/s41531-022-00288-w

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