Machine learning models to predict disease progression among veterans with hepatitis C virus

BACKGROUND: Machine learning (ML) algorithms provide effective ways to build prediction models using longitudinal information given their capacity to incorporate numerous predictor variables without compromising the accuracy of the risk prediction. Clinical risk prediction models in chronic hepatiti...

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Detalles Bibliográficos
Autores principales: Konerman, Monica A., Beste, Lauren A., Van, Tony, Liu, Boang, Zhang, Xuefei, Zhu, Ji, Saini, Sameer D., Su, Grace L., Nallamothu, Brahmajee K., Ioannou, George N., Waljee, Akbar K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6319806/
https://www.ncbi.nlm.nih.gov/pubmed/30608929
http://dx.doi.org/10.1371/journal.pone.0208141

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6319806/
https://www.ncbi.nlm.nih.gov/pubmed/30608929
http://dx.doi.org/10.1371/journal.pone.0208141

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