Predicting disease progression from short biomarker series using expert advice algorithm

Well-trained clinicians may be able to provide diagnosis and prognosis from very short biomarker series using information and experience gained from previous patients. Although mathematical methods can potentially help clinicians to predict the progression of diseases, there is no method so far that...

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Detalles Bibliográficos
Autores principales: Morino, Kai, Hirata, Yoshito, Tomioka, Ryota, Kashima, Hisashi, Yamanishi, Kenji, Hayashi, Norihiro, Egawa, Shin, Aihara, Kazuyuki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2015
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5386184/
https://www.ncbi.nlm.nih.gov/pubmed/25989741
http://dx.doi.org/10.1038/srep08953

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5386184/
https://www.ncbi.nlm.nih.gov/pubmed/25989741
http://dx.doi.org/10.1038/srep08953

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