2 citations · 5 across the 7 of their papers we have counts for
7 papers
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…
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…
Automatic prediction of mortality in patients with mental illness using electronic health records
Sean Kim, Samuel Kim
Mental disorders impact the lives of millions of people globally, not only impeding their day-to-day lives but also markedly reducing life expectancy. This paper addresses the pers…
Why Do Students Drop Out? University Dropout Prediction and Associated Factor Analysis Using Machine Learning Techniques
Sean Kim, Eliot Yoo, Samuel Kim
Graduation and dropout rates have always been a serious consideration for educational institutions and students. High dropout rates negatively impact both the lives of individual s…
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…
Reactor Antineutrino Spectral "Bump": Cumulative Fission Yields of Irradiated U-235 and Pu-239 Measured by HPGe Gamma-Ray Spectroscopy
Samuel Kim, C. J. Martoff, Michael Dion +1
Recent measurements of the reactor antineutrino emission show that there exists a spectral excess (the "bump") in the 5-7 MeV region when compared to the Huber-Muller prediction ba…