A Framework for Automated Extraction of Information for Clinical Decision Support from Images of Flow Charts and Decision Trees
McCullen Sandora, Kaushik Raha(RELX Group (Netherlands)), Atul Kakrana(University of Delaware), Marvin Thielk(University of California San Diego), Elia Lima-Walton(RELX Group (Netherlands))
SSRN Electronic Journal
November 6, 2020
Cited by 0
Related Papers
Discovery of GSK2126458, a Highly Potent Inhibitor of PI3K and the Mammalian Target of Rapamycin
|ACS Medicinal Chemistry Letters|2010|374
The asparagus genome sheds light on the origin and evolution of a young Y chromosome
|Nature Communications|2017|348
Finding, visualizing, and quantifying latent structure across diverse animal vocal repertoires
|PLoS Computational Biology|2020|315
Parallels in the sequential organization of birdsong and human speech
|Nature Communications|2019|98
Generative adversarial interpolative autoencoding: adversarial training on latent space interpolations encourage convex latent distributions
|arXiv (Cornell University)|2018|44