3 citations · 7 across the 4 of their papers we have counts for
4 papers
Development of deep biological ages aware of morbidity and mortality based on unsupervised and semi-supervised deep learning approaches
Seong-Eun Moon, Ji Won Yoon, Shinyoung Joo +5
Background: While deep learning technology, which has the capability of obtaining latent representations based on large-scale data, can be a potential solution for the discovery of…
MED-SE: Medical Entity Definition-based Sentence Embedding
Hyeonbin Hwang, Haanju Yoo, Yera Choi
We propose Medical Entity Definition-based Sentence Embedding (MED-SE), a novel unsupervised contrastive learning framework designed for clinical texts, which exploits the definiti…
An Automatic ICD Coding Network Using Partition-Based Label Attention
Daeseong Kim, Haanju Yoo, Sewon Kim
International Classification of Diseases (ICD) is a global medical classification system which provides unique codes for diagnoses and procedures appropriate to a patient's clinica…
Cross-modal Variational Auto-encoder with Distributed Latent Spaces and Associators
Dae Ung Jo, ByeongJu Lee, Jongwon Choi +2
In this paper, we propose a novel structure for a cross-modal data association, which is inspired by the recent research on the associative learning structure of the brain. We form…