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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Λεπτομέρειες βιβλιογραφικής εγγραφής

Κύριοι συγγραφείς:	Austin Chou, Abel Torres-Espin, Nikos Kyritsis, J Russell Huie, Sarah Khatry, Jeremy Funk, Jennifer Hay, Andrew Lofgreen, Rajiv Shah, Chandler McCann, Lisa U Pascual, Edilberto Amorim, Philip R Weinstein, Geoffrey T Manley, Sanjay S Dhall, Jonathan Z Pan, Jacqueline C Bresnahan, Michael S Beattie, William D Whetstone, Adam R Ferguson, TRACK-SCI Investigators
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	Public Library of Science (PLoS) 2022-01-01
Σειρά:	PLoS ONE
Διαθέσιμο Online:	https://doi.org/10.1371/journal.pone.0265254
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