2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.LG2024
Leveraging Federated Learning for Automatic Detection of Clopidogrel Treatment Failures
Samuel Kim, Min Sang Kim
The effectiveness of clopidogrel, a widely used antiplatelet medication, varies significantly among individuals, necessitating the development of precise predictive models to optim…
cs.LG2024★ 2 cited
Data augmentation method for modeling health records with applications to clopidogrel treatment failure detection
Sunwoong Choi, Samuel Kim
We present a novel data augmentation method to address the challenge of data scarcity in modeling longitudinal patterns in Electronic Health Records (EHR) of patients using natural…
cs.LG2023
Detection and prediction of clopidogrel treatment failures using longitudinal structured electronic health records
Samuel Kim, In Gu Sean Lee, Mijeong Irene Ban +1
We propose machine learning algorithms to automatically detect and predict clopidogrel treatment failure using longitudinal structured electronic health records (EHR). By drawing a…