Publications by authors named "Bomi Jeon"
Article Synopsis
- Cancer patients face high risks of short-term deterioration due to their treatments and complications, prompting the use of a rapid response system (RRS) to identify at-risk individuals.
- A retrospective study analyzed data from nearly 20,000 oncology patients admitted between 2016 and 2020 to develop a deep learning-based early warning score (Can-EWS) for predicting clinical deterioration.
- Two models were created, with Can-EWS V2 showing significantly better performance in predicting deterioration than existing methods, achieving a high area under the receiver operating curve (AUROC) of 0.898, demonstrating its effectiveness in clinical settings.
A synthetic method for a wide range of amidated azobenzenes is developed from the selective rhodium-catalyzed C-H amidation reaction of symmetrical as well as unsymmetrical azobenzenes with alkyl-, aryl-, and heteroaryl-substituted dioxazolones under mild conditions. Diamidation of azobenzenes and amidation of monoamidated azobenzenes were also demonstrated.
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