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Data-driven identification of complex disease phenotypes

Disease interaction in multimorbid patients is relevant to treatment and prognosis, yet poorly understood. In the present work, we combine approaches from network science, machine learning and computational phenotyping to assess interactions between two or more diseases in a transparent way across t...

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Detalles Bibliográficos
Autores principales:	Strauss, Markus J., Niederkrotenthaler, Thomas, Thurner, Stefan, Kautzky-Willer, Alexandra, Klimek, Peter
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	The Royal Society 2021
Materias:	Life Sciences–Physics interface
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8315834/ https://www.ncbi.nlm.nih.gov/pubmed/34314651 http://dx.doi.org/10.1098/rsif.2020.1040

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