Expert-augmented automated machine learning optimizes hemodynamic predictors of spinal cord injury outcome

Artificial intelligence and machine learning (AI/ML) is becoming increasingly more accessible to biomedical researchers with significant potential to transform biomedicine through optimization of highly-accurate predictive models and enabling better understanding of disease biology. Automated machin...

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Detalles Bibliográficos
Autores principales: Chou, Austin, Torres-Espin, Abel, Kyritsis, Nikos, Huie, J. Russell, Khatry, Sarah, Funk, Jeremy, Hay, Jennifer, Lofgreen, Andrew, Shah, Rajiv, McCann, Chandler, Pascual, Lisa U., Amorim, Edilberto, Weinstein, Philip R., Manley, Geoffrey T., Dhall, Sanjay S., Pan, Jonathan Z., Bresnahan, Jacqueline C., Beattie, Michael S., Whetstone, William D., Ferguson, Adam R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8989303/
https://www.ncbi.nlm.nih.gov/pubmed/35390006
http://dx.doi.org/10.1371/journal.pone.0265254

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8989303/
https://www.ncbi.nlm.nih.gov/pubmed/35390006
http://dx.doi.org/10.1371/journal.pone.0265254

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