Akira Koseki — accepted AI-conference papers

2022

Cumulative Stay-time Representation for Electronic Health Records in Medical Event Time Prediction

Takayuki Katsuki, Kohei Miyaguchi, Akira Koseki, Toshiya Iwamori, Ryosuke Yanagiya, Atsushi Suzuki

IJCAI 2022poster

We address the problem of predicting when a disease will develop, i.e., medical event time (MET), from a patient's electronic health record (EHR). The MET of non-communicable diseases like diabetes is highly correlated to cumulative health conditions, more specifically, how much time the patient sp…

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2022

Variational Inference for Discriminative Learning with Generative Modeling of Feature Incompletion

Kohei Miyaguchi, Takayuki Katsuki, Akira Koseki, Toshiya Iwamori

ICLR 2022oral

We are concerned with the problem of distributional prediction with incomplete features: The goal is to estimate the distribution of target variables given feature vectors with some of the elements missing. A typical approach to this problem is to perform missing-value imputation and regression, sim…

Cited by 2 Source ↗PDF ↗Scholar ↗